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We are pleased to announce that we have received the Grand Prize for Innovative Technology at the "Shikoku Industrial Technology Awards." Our development of a device that prevents accidents involving large and special vehicles by utilizing artificial intelligence (AI) has been recognized. This technology has been primarily implemented in models such as "BFV202" and "BFV203." The AI camera installed on the vehicle detects pedestrians and bicycles, providing warnings to the driver through sound and light, thereby assisting in the prevention of accidents. We will continue to engage in product development that contributes to safety and security in the field. For more details about the product, please download the catalog or feel free to contact us.
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Intrusion detection using surveillance cameras can be affected by the installation environment, particularly in sloped or uneven areas where the visibility of individuals changes, making stable detection difficult. The image intrusion monitoring unit can detect while considering differences in terrain and depth. Even in places with steps or slopes, it achieves stable intrusion monitoring that is less susceptible to environmental influences. With flexible settings tailored to the site, it is possible to establish the optimal detection area according to operational needs, and it can also accommodate the integration of existing equipment. It contributes to reducing false alarms and improving monitoring quality in unmanned and wide-area facilities such as solar power plants, factories, and material storage sites. 【Features】 - High-precision intrusion detection considering terrain and depth - Flexible area settings according to the site - Compatible with the integration of existing cameras 【Recommended for such sites】 - Wide-area facilities like solar power plants and plants - Unmanned areas such as factories, warehouses, and material storage sites
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The BFV202 features a compact design that is small and lightweight, making it easy to fit into limited spaces and allowing for hassle-free installation that takes into account the vehicle's structure and layout. It is also easy to retrofit, enabling smooth integration into existing vehicles. Additionally, its simple structure enhances workability, allowing for quick installation without the need for extensive construction. The compact housing minimizes interference with operations and is designed to reduce impact on visibility while driving. Furthermore, various settings can be easily adjusted without the need to download a dedicated app, allowing for convenient access from tablets, PCs, or smartphones. This facilitates flexible implementation tailored to on-site operations, enabling smooth operation to begin while minimizing equipment downtime.
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The BSV20/BSV20R is a model that pursues a more compact design while leveraging the features of the conventional series (BSV12/BSV12R). The previous models were designed to be compatible with racks and DIN rails, and have been widely adopted in many sites. The latest model has a slimmer housing, making it easier to accommodate in tight spaces and for retrofitting existing equipment. This increases installation flexibility and reduces the burden of construction. Additionally, power consumption has been significantly reduced from approximately 17-18W to about 5W. This not only helps to lower running costs but also makes it easier to implement in environments with power capacity constraints. The lineup is designed to be selectable according to application and installation conditions.
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The "BSV20" is an image intrusion monitoring unit that analyzes video from IP cameras in real-time to automatically detect suspicious individuals and intruders. When an intrusion is detected, it outputs an alarm signal and simultaneously sends the detected video, allowing integration with security systems and external devices. Thanks to its unique image analysis technology, it can identify environmental changes such as shadows, lighting variations, rain, and swaying vegetation. It achieves stable intrusion detection while minimizing unnecessary alarms, even under harsh conditions like outdoors or at night. With a compact design that makes installation easy, it can also be retrofitted to utilize existing IP cameras. It is suitable for sites that require extensive perimeter monitoring, such as power plants, airports, factories, and logistics facilities. 【Implementation Effects】 ■ Reduces intrusion risks during nighttime and unmanned hours ■ Mitigates damage through early detection of anomalies ■ Reduces the burden of visual monitoring and patrolling ■ Lowers implementation costs by utilizing existing cameras ■ Accelerates security response and improves management efficiency ■ Strengthens the overall security system of the facility 【Features】 ■ Real-time analysis of IP camera footage ■ High-precision detection that minimizes false alarms and missed detections ■ Compact and easy-to-install design ■ Alarm output and external device integration support ■ Possible retrofitting installation to existing equipment
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In food factories, the transportation and loading/unloading of raw materials and products by truck is a routine task. Trucks have large bodies and many blind spots, making it easy to overlook surrounding workers during reverse maneuvers or loading operations, resulting in a high-risk environment for contact and entrapment accidents. Particularly in receiving areas and shipping zones, there are many situations where people and vehicles work in close proximity, creating conditions conducive to human error. The BFV203 is an add-on entrapment accident warning system for trucks. It continuously monitors the area around the vehicle and immediately alerts the driver when a worker enters a danger zone. This system helps prevent serious accidents, reduces visual strain, and contributes to the efficiency of loading operations. Additionally, the BFV203 has been certified as an eligible product for subsidies from the All Japan Truck Association, allowing for reduced cost burdens upon implementation. It supports the enhancement of labor safety measures while alleviating the burden of introduction, thereby improving the safety of on-site operations. *Please check for the latest information on the system details. [Usage Scenarios] - Truck transportation operations within food factory premises - Safety management in receiving areas and shipping yards [Benefits of Implementation] - Ensuring worker safety and reducing accident risks - Supporting the prevention of oversights due to blind spots
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In material and packaging processing facilities, the transportation and loading/unloading of raw materials and finished products, such as cardboard and film, are carried out daily by trucks. Large trucks have a big body and many blind spots, making it easy to overlook surrounding workers during reversing or loading operations, creating a high-risk environment for contact and entrapment accidents. Particularly in material warehouses, there are many situations where people and vehicles work in close proximity, increasing the likelihood of human error. BFV203 is a retrofittable entrapment accident warning system for existing trucks. It continuously monitors the area around the vehicle and immediately warns the driver when a worker enters a danger zone. This helps prevent accidents, reduces visual workload, and contributes to the efficiency of loading operations. BFV203 is certified as a subsidized product by the All Japan Truck Association, allowing for reduced implementation costs. It supports the enhancement of safety measures while alleviating the financial burden during implementation, thereby improving the safety of on-site operations. *Please check for the latest information on the system details. [Usage Scenarios] - Truck transportation operations within the facility - Safety management in material warehouses and shipping yards [Benefits of Implementation] - Ensuring worker safety and reducing accident risks - Preventing oversights due to blind spots
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In packaging and packaging factories, forklifts are essential for transporting cardboard cases, film rolls, packaging materials, and finished product pallets. On the other hand, in areas around packaging lines and shipping zones where pedestrian traffic is high, there is always a risk of contact and entrapment accidents due to obstructed views and blind spots caused by cargo. Such accidents directly impact not only the safety of workers but also lead to production stoppages, shipping delays, and quality issues, affecting management. The "BFV202" monitors the area around the forklift with four cameras and AI, detecting and warning in real-time of any human intrusion into the work area. Since it can be retrofitted to existing vehicles, it enables the enhancement of safety measures without significantly changing on-site operations. [Usage Scenarios] - Material supply and transportation work around packaging lines - Shipping and loading work for finished product pallets - Areas within factories where people and forklifts coexist [Benefits of Implementation] - Improved safety through reduced risk of forklift accidents - Promotion of on-site improvements by reducing near-miss incidents - Mitigation of risks related to production and shipping stoppages - Enhanced corporate evaluation through the visualization of safety measures
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At campsites and glamping facilities, while there is the charm of spending time in nature, there is also a lingering anxiety about theft and intruders. Many facilities implement measures such as nighttime patrols and security cameras, but there are also voices seeking even greater peace of mind. In this context, by utilizing microwave sensors and image analysis units as a means to complement existing measures, it is possible to detect human intrusions and suspicious movements in real-time, enabling stable monitoring even in darkness or adverse weather conditions. The system that "detects abnormalities and alerts" supports the prevention of troubles before they occur. It watches over safety in harmony with nature, providing peace of mind for both users and facilities. An environment where guests can stay with peace of mind leads to increased satisfaction and repeat rates, reduced patrol burdens, and improved efficiency in nighttime management. It can also address less visible risks, supporting the creation of facilities that are chosen by customers. 【Usage Scenarios】 - Monitoring intrusions around tent sites - Watching over entrances and shared spaces - Detecting suspicious individuals and behaviors in parking lots 【Benefits of Implementation】 - Prevention of theft and troubles - Enhanced sense of security for users
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In cargo handling operations within the port area, there are situations where human involvement overlaps with the movement of general on-site vehicles. Vehicles such as trucks used on-site may have cases where it becomes difficult to check the surroundings while driving or reversing. In particular, areas around vehicles are prone to blind spots, and depending on the work situation, it can be anticipated that sufficient checks may be challenging. The BFV-203 is a collision warning system that detects people around the vehicle using cameras and AI, notifying the driver of proximity to danger zones through audio and visual alerts. By serving as an aid to visual checks and mirror confirmations, it supports safety checks in port operations. This product has been selected as an eligible device for grants from the All Japan Truck Association. By improving safety and reducing the burden of implementation, it contributes to stable operations and the creation of a safe working environment. *Please check the latest information for detailed conditions of the program. [Usage Scenarios] - Loading and unloading operations within the port area - Safety checks during movement and reversing within the yard - Cargo handling operations in front of warehouses [Effects of Implementation] - Supports the reduction of contact and entrapment risks in general on-site vehicles - Assists drivers in checking their surroundings, enhancing a sense of security during operations.
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In the cargo area and backyards of airports, truck movements and loading operations are carried out daily. There are many situations where checking the surroundings is crucial, such as when reversing or approaching other vehicles, and drivers are required to ensure safety. The BFV-203 is a collision warning system that detects people around the vehicle using cameras and AI technology. When it detects an intrusion into a designated danger area, it warns the driver with audio and visual alerts. It supplements blind spots that cannot be fully understood through visual checks or mirrors, supporting safety checks during on-site driving and loading operations. This product has been selected as an eligible device for subsidies from the All Japan Trucking Association. By balancing safety improvements with reduced implementation burdens, it contributes to stable operations and the creation of a safe working environment in airport logistics. *Please check the latest information for detailed conditions of the program. [Usage Scenarios] - On-site driving in airport cargo areas - Loading and unloading operations in front of warehouses - Surroundings of backyards and waiting areas [Effects of Implementation] - Complements checks around trucks, reducing the risk of contact and collision accidents - Supports drivers in safety checks, enhancing the sense of security at the site
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In forestry operations, logs and lumber are transported and loaded by trucks, but due to the large size of the vehicle and numerous blind spots, visibility can be easily obstructed, posing risks of contact and entrapment. Especially in collection yards and sawmills, there are often situations where people and trucks work in close proximity, creating an environment where accidents due to human error are likely to occur. The BFV203 is a warning system for entrapment accidents that can be installed on trucks. It continuously monitors the area around the vehicle and immediately alerts the driver when a person enters a danger zone. This helps to prevent serious accidents such as contact and entrapment, while also reducing the burden of safety checks and contributing to work efficiency. Additionally, the BFV203 has been certified as an eligible product for subsidies from the All Japan Truck Association, allowing for assistance with installation costs. By balancing improved safety and reduced implementation burdens, it contributes to creating a safe working environment. *Please check the latest information for details on the program. 【Usage Scenarios】 - Truck transportation operations within forests or facilities - Safety management in collection yards and sawmills - Loading and unloading operations 【Benefits of Implementation】 - Ensures the safety of workers and reduces accident risks - Supports prevention of oversights due to blind spots - Contributes to improved work efficiency
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In agricultural settings where people and vehicles often work in the same space, strengthening safety measures has become an important issue. With trucks being routinely used for transporting and collecting harvested goods, as well as for delivering materials, the risk of accidents due to blind spots increases during reverse driving and turning. The BFV-203 is a collision warning system that detects individuals around the vehicle using camera and AI technology, and alerts the driver with audio and visual warnings when someone enters a danger zone. It supplements blind spots that cannot be fully understood through visual checks or mirrors, helping to prevent accidents before they occur. This product has been selected as an eligible device for grants from the All Japan Truck Association. By balancing improved safety and reduced implementation burdens, it contributes to creating a safe working environment in agriculture. *Please check the latest information for detailed conditions of the program. [Usage Scenarios] - Collection and transportation of harvested goods - Unloading operations at collection and sorting sites - Loading and unloading operations at warehouses and refrigeration facilities [Effects of Implementation] - Reduces the risk of collision and contact accidents involving trucks - Supports drivers in ensuring safety, enhancing the sense of security for workers
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Pal Giken utilizes image processing technology to support safety in the workplace. It is useful for preventing near-miss incidents in environments such as factories and logistics hubs where people and vehicles interact. It helps to prevent oversights caused by blind spots, allowing for real-time awareness of the surrounding situation. For more details, please download the PDF or feel free to contact us.
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In the protection of artworks and cultural properties, in addition to preventing theft and vandalism, the most important aspect is to safeguard the works without causing damage. While there is a demand for monitoring that does not involve touching the artworks, the installation and operation of cameras can often be challenging due to privacy considerations and installation constraints. Furthermore, there is a need to reliably detect intrusions or approaches during nighttime or after hours, as well as to quickly identify signs of not only theft but also vandalism, damage, and removal. Against this backdrop, there is a growing demand for sensors that possess the characteristics of "not handling images," "not making contact," and "being less affected by environmental factors." As an option, the use of microwave sensors that can detect intrusions and approaches without contact is considered effective. These sensors detect human movement and proximity through changes in radio wave reflection and can operate stably even in dark environments. They can detect behaviors such as "reaching out to the exhibit," "crossing the rope," or "being too close" and provide immediate notifications. They serve as an additional detection layer that complements existing security systems, contributing to deterrence and early response. They are also effective in enhancing security around exhibition rooms, storage areas, and various entrances and the periphery of buildings.
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In Japan, wrong-way driving accidents remain a significant safety issue on highways. Every year, a certain number of incidents related to wrong-way driving occur, and the fact that they are prone to lead to serious accidents, such as head-on collisions, is problematic. The proportion of elderly drivers involved in wrong-way driving is high, and misjudgments, overlooking signs, and assumptions are considered the main factors. Locations where wrong-way driving is likely to occur include interchanges, toll booths, and entrances and exits of service areas and parking areas, where the proximity of entrances and exits makes the structure difficult to understand. There are also cases where drivers attempt to return after passing an exit on the main road, leading to wrong-way driving, making early detection of abnormalities crucial. In response to these issues, measures utilizing sensor technology have been advancing in recent years. The microwave safety monitoring sensor can detect distance and speed using microwaves, allowing for stable monitoring even at night or in bad weather. By detecting wrong-way vehicles early and linking them to warnings and control coordination, it contributes to the prevention of serious accidents and the overall improvement of road safety.
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In traditional monitoring methods where footage is recorded and reviewed by humans, there are several challenges: - It leads to a passive operation where confirmation occurs after an abnormal event, making prevention difficult. - Increased chances of oversight due to a shortage of personnel. - Higher likelihood of missing incidents due to nighttime, bad weather, backlighting, and vegetation. 3D image analysis, accurately eliminating disturbances such as shadows, lighting changes, plant movements, and small animals. It reliably captures necessary targets and reduces false alarms that are common with infrared and laser methods. Furthermore, it easily integrates with alarm signals and video outputs, optimizing operations while leveraging existing systems. The high degree of configurability allows for fine-tuning to match the site environment. With a flexible configuration that can be retrofitted to existing cameras, it enables the establishment of proactive monitoring that detects incidents before they occur, all while keeping costs down. It maintains high safety levels even in small team environments and proves effective in a wide range of settings, including factories, warehouses, public facilities, and parking lots.
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This time, we will clearly introduce our microwave sensors by application. We hope this will be helpful for those who want to know which sensor is best suited for their intended environment. BSS01 / BSM02 Microwave Intrusion Detection Sensor Covers a maximum range of 100 to 200 meters and is utilized for perimeter monitoring and large property boundaries. BSS201-P1 / BSM201-P1 Microwave Multi-Span Sensor Lightweight and easy to install, it is ideal for monitoring medium-sized areas such as around warehouses and along fences. BSS20 Microwave Smart Sensor Forms a "thick three-dimensional radio wave area" between the transmitter and receiver, and is highly regarded in critical infrastructure such as power plants and airports. BSS300 / BSS301 Microwave Short-Range Sensor Capable of wide-angle monitoring in close-range areas. It is suitable for space-saving environments such as around machinery, in front of entrances, and automatic doors. By leveraging the unique characteristics of each sensor, they can be used in a wide range of scenarios, from perimeter security to equipment safety management.
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This time, we would like to introduce the differences in detection methods of our microwave sensors. We hope this will serve as a reference for customers who are unsure about which sensor to choose or want to know the type that suits their application. There are mainly two detection methods for microwave sensors: "beam reflection method" and "beam interruption method." The "beam reflection method" detects changes in the reflection of microwaves emitted from the sensor when they hit a person or object. It can be operated with a single sensor, making installation smooth and easy, even in limited spaces. Next, the "beam interruption method" involves placing the sensor and a reflector (or transmitter/receiver) opposite each other to detect the moment when the radio wave path is "interrupted." This method is ideal for situations where a clear monitoring line, such as a fence line, needs to be established, and it is widely used for perimeter security and gate monitoring. *For more details, please download the PDF or feel free to contact us.
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The 3D LiDAR MLS-e24 is a 3D laser scanner that captures the movements of people and vehicles in three dimensions outdoors. By finely scanning the surroundings with lasers, it can grasp distances and positions in real-time, making it useful in various scenarios such as monitoring along fences, gate surveillance, and detecting ascents on slopes. Its gapless structure allows for seamless monitoring, and it is also robust in harsh environments such as nighttime, backlighting, and snow cover. Additionally, it features log analysis for reviewing situations after an alarm is triggered, as well as a snapshot function, facilitating smooth verification and maintenance on-site. Moreover, it can be installed in either horizontal or vertical orientation, allowing for optimal placement according to the site conditions. It minimizes false alarms caused by environmental factors and is a highly reliable sensor that can be used safely for extended periods in various outdoor settings.
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The "Microwave Distance Measurement Sensor: BLS01" measures river water levels using microwave reflections. It is highly resistant to weather conditions such as rain, wind, snow, and fog, allowing for reliable measurements even in harsh outdoor environments. 【Features】 ■ Capable of measuring distances up to 50 meters. ■ Easy maintenance with non-contact measurement. ■ Dustproof and waterproof with an IP67 rating, suitable for installation in harsh outdoor environments. ■ Strong resistance to weather conditions such as rain, wind, snow, and fog. *For more details about the product, please visit the link or feel free to contact us. https://www.ipros.jp/product/detail/2000518354
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The "BSV12" is an image intrusion monitoring unit that performs real-time image analysis on video inputs from analog cameras and IP cameras to detect intruders. When an intrusion is detected, it outputs an alarm signal as well as the detected video. All components are domestically produced with in-house design, ensuring comprehensive support and maintenance. By performing 3D image processing with depth settings, it achieves highly reliable detection performance. 【Features】 ■ Easily add motion detection ■ Low false alarms and missed detections ■ Fully domestically produced ■ Compatible with both analog and IP video inputs *For more details, please refer to the PDF document or feel free to contact us.
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The "Micro Proximity Distance Sensor: BSS300" can monitor a wide area at close range, is resilient to weather conditions such as rain, wind, snow, and fog, and provides reliable monitoring even in harsh outdoor environments. 【Features】 ■ Strong against natural environments ■ Not affected by surrounding temperature changes ■ Easy installation and adjustment ■ Capable of intrusion position detection *For more details about the product, please visit the link or feel free to contact us. https://www.ipros.jp/product/detail/2000518368
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A camera installed at the bottom of the side mirror detects pedestrians, bicycles, and motorcycles in hazardous areas, providing warnings to the driver through alarm sounds and visuals. ■ Detection of pedestrians, bicycles, and motorcycles achieved by AI ■ Can be retrofitted to vehicles currently in operation ■ Alerts the driver with sound, light, and visuals upon detection ■ Utilizes a high-sensitivity camera that is easy to see even at night *For more details, please refer to the PDF document or feel free to contact us.*
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A camera installed at the bottom of the side mirror detects pedestrians, bicycles, and motorcycles in hazardous areas, providing alerts to the driver through sound and video. ■ Detection of pedestrians, bicycles, and motorcycles enabled by AI ■ Can be retrofitted to vehicles currently in operation ■ Alerts the driver with sound, light, and video upon detection ■ Utilizes a high-sensitivity camera that is easy to see even at night *For more details, please refer to the PDF document or feel free to contact us.*
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A camera installed at the bottom of the side mirror detects pedestrians, bicycles, and motorcycles in dangerous areas, providing warnings to the driver through alarm sounds and video. - Detection of pedestrians, bicycles, and motorcycles is achieved using AI. - Can be retrofitted to vehicles currently in operation. - Alerts the driver with sound, light, and video upon detection. - Utilizes a high-sensitivity camera that is easy to see even at night. *For more details, please refer to the PDF document or feel free to contact us.*
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The microwave intrusion detection sensor 'BSS01/BSM02' can detect the movement of intruders. (See video for reference) ■Features - Strong against natural environments There are fewer false detections due to environmental influences such as rain, wind, snow, fog, and light. - Selection of detection modes according to installation environment Standalone: Microwave beam reflection detection method Opposing: Microwave beam interruption method - Long-distance monitoring capability Detection distance can reach up to 200m for the opposing type and up to 100m for the standalone type. - Capability to detect intrusion locations It is possible to detect intrusion locations, allowing for the establishment of detection and non-detection areas. *For more details, please refer to the product catalog or feel free to contact us.
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The microwave intrusion detection sensor 'BSS01/BSM02' can detect intruders diving in. (See video for reference) ■Features - Strong against natural environments There are fewer false detections due to environmental influences such as rain, wind, snow, fog, and light. - Selection of detection modes according to the installation environment Standalone: Microwave beam reflection detection method Opposing: Microwave beam interruption method - Long-distance monitoring capability Detection distance can reach up to 200m for the opposing type and up to 100m for the standalone type. - Capability to detect intrusion locations It is possible to detect intrusion locations, allowing for the establishment of detection and non-detection areas. *For more details, please refer to the product catalog or feel free to contact us.
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The microwave intrusion detection sensor 'BSS01/BSM02' can detect the rolling of intruders. (See video for reference) ■Features - Strong against natural environments There are few false detections due to environmental influences such as rain, wind, snow, fog, and light. - Selection of detection modes according to installation environment Standalone: Microwave beam reflection detection method Opposing: Microwave beam interruption method - Long-distance monitoring capability Detection distance can reach up to 200m for opposing type and up to 100m for standalone type. - Intrusion position detection capability It is possible to detect the position of intrusion, allowing for the establishment of intrusion detection areas and non-detection areas. *For more details, please refer to the product catalog or feel free to contact us.
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The "microwave sensor" can distinguish between the approach and departure of detected objects, allowing it to detect objects from any direction. With a maximum detection range of 200 meters, it can detect and display the speed of vehicles entering from the main highway to service areas (SA) and parking areas (PA), enabling measures to reduce the risk of accidents within parking lots. The output supports contact output and Ethernet connection, allowing it to be integrated into higher-level systems for various applications. 【Features of the Microwave Sensor】 ■ Simultaneous measurement of speed and distance ■ Can distinguish between the approach and departure of detected objects, enabling detection of objects from any direction ■ Can be utilized in various scenarios by integrating into higher-level systems *For more details, please refer to the PDF document or feel free to contact us.
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The "microwave sensor" detects intruders in restricted areas in real-time and prevents unauthorized access before it occurs. Utilizing the characteristics of microwaves, it demonstrates high detection performance even in harsh environments such as snowfall, fog, and rain. It can detect over a wide angle at close range and can also complement blind spots in existing surveillance systems. In port facilities, it is less affected by coastal winds and salt damage, allowing for intrusion monitoring with fewer false alarms. 【Features of the Microwave Sensor】 ■ Real-time detection of intruders in restricted areas, preventing unauthorized access before it occurs ■ High detection performance even in harsh environments such as snowfall, fog, and rain ■ Detection of unauthorized intruders from building entrances within the premises ■ Capability to detect over a wide angle at close range ■ Ability to complement blind spots in existing surveillance systems *For more details, please refer to the PDF document or feel free to contact us.
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The front two cameras and rear two cameras of the forklift switch based on the direction of travel to capture images, which are then processed by AI inference. ■ Can be retrofitted to forklifts in operation ■ Real-time judgment through high-speed processing ■ Detection area can be set arbitrarily ■ Detection area changes in conjunction with movement speed and turning direction ※ The enable/disable of this function can be selected for each front and rear camera.
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Our unique AI technology analyzes camera footage in real-time. It warns drivers with sound, light, and visuals to support safety. ◆ The detection area can be set as desired. ◆ Two cameras can detect the left side without any blind spots. ◆ The detection area can be switched based on speed.
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Our company possesses a wide range of technologies, from devices such as CPUs and FPGAs to development languages like C++ and Python, as well as embedded operating systems. Based on these technologies, we are challenging ourselves to build new technologies in fields such as image sensing and AI/machine learning sensing. Please feel free to contact us if you have any inquiries. 【Technologies and Development Environment (Partial)】 ■Devices: CPU, DSP, SoC, ARM, FPGA, CPLD ■Development Languages: C, C++, Python, MATLAB, VHDL, Verilog-HDL ■Operating Systems: Linux, μITRON, Windows Embedded, Windows 10 ■Networks: TCP/IP, USB, PCI-Express, Cybersecurity ■Image and Signal Processing: FFT, HOG, SVM, Object Recognition, Segmentation, Pose Estimation *For more details, please download the PDF or feel free to contact us.
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Our technology department is a group of experts in hardware and software technologies that support image processing and signal processing, enabling further development. The fusion of different departments allows for diverse product development. The process starts with requirements definition, followed by development, design, and system verification, leading to the completion of the product. Please feel free to contact us when you need assistance. 【Features of the Technology Department】 ■ Hardware and software technologies support image processing and signal processing, enabling further development. *For more details, please download the PDF or feel free to contact us.
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We offer product design and production services (ODM) under our customers' brands. We handle everything from product design, parts procurement, manufacturing, and functional testing to logistics and repair services. We aim to minimize the hassle for our customers and propose a reduction in total costs. Please feel free to contact us when you need our services. 【Features】 ■ We provide a comprehensive service that includes product design, parts procurement, manufacturing, functional testing, logistics, and repair services. ■ We propose a reduction in total costs without causing any inconvenience to our customers. *For more details, please download the PDF or feel free to contact us.
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Our quality assurance system is based on the quality policy of "creating and providing products, services, and quality that are chosen by our customers." With a market-in approach that considers the customer's perspective, we pursue improvements in products, services, and quality. Each department, from sales to development, production, and sales, is committed to enhancing quality. Please feel free to contact us when you need our services. 【Quality by Department (Partial)】 ■ Sales Quality: Real-time, accurate, flexible, courteous, and reassuring responses ■ Design Quality: Integrated design of software and hardware ■ Manufacturing Quality: Quality checks at each stage from acceptance to shipment ■ Service Quality: Maintenance support (repair response and failure analysis) *For more details, please download the PDF or feel free to contact us.
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Our company is a fabless enterprise that does not have its own manufacturing or assembly processes and equipment. Manufacturing is outsourced to partner companies, which handle tasks such as circuit board assembly, sheet metal processing, molding, and harness processing. This allows us to respond flexibly to market changes and also achieve cost reductions. Please feel free to contact us when you need our services. 【Benefits】 ■ Flexibly respond to market changes (production volume and needs) ■ No need to stock generic parts, enabling cost reductions ■ Ability to select suitable production and inspection equipment according to requirements and product performance *For more details, please download the PDF or feel free to contact us.
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In the food processing and manufacturing industry, loading and unloading operations using forklifts are routinely conducted in shipping and logistics sites. However, limited working hours, handling of heavy items, and the mixing of workers and vehicles pose challenges such as decreased work efficiency and increased accident risks. By implementing a safety monitoring system around forklifts, immediate warnings are issued through audio and visual alerts when workers approach dangerous areas. This helps reduce the risk of contact and entrapment accidents during loading and unloading operations. Compared to traditional operations that rely on visual checks, systems utilizing sensors, cameras, and AI prevent oversight and achieve stable safety management. They can be retrofitted to existing forklifts, allowing for implementation without large-scale equipment updates. 【Usage Scenarios】 - Loading operations at shipping docks in food factories - Unloading and transportation operations within warehouses - Logistics areas where forklifts and workers coexist - Safety measures in refrigerated and frozen warehouses 【Benefits of Implementation】 - Reduced accident risks during loading and unloading operations - Ensured safety for workers and reduced burden - Improved logistics efficiency
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At airports and air cargo facilities, air containers, palletized cargo, in-flight supplies, and maintenance parts are transported and loaded/unloaded. The cargo terminal and apron areas have vehicles and workers moving simultaneously, creating an environment where visibility can easily be obstructed by luggage and equipment, increasing the risk of accidents such as collisions and entrapments. Ensuring safe ground operations is a critical issue directly linked to on-time flights and the smooth operation of the entire airport. The BFV202 continuously monitors the area around forklifts with four cameras and AI, detecting the intrusion of workers and vehicles into hazardous areas. By issuing warnings to drivers through audio and video, it helps prevent collisions and contact accidents before they occur. It can be retrofitted to existing forklifts, allowing for efficient enhancement of safety measures. 【Usage Scenarios】 - Transportation and loading/unloading of cargo by forklifts at air cargo terminals - Safety management of ground support vehicles and workers in the apron area - Support for preventing contact during the transportation of in-flight supplies and maintenance parts 【Benefits of Implementation】 - Reduces the risk of contact accidents between forklifts, vehicles, and workers - Strengthens safety management systems in airport ground operations with many blind spots - Supports drivers in situational awareness, achieving safe and stable operations
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In port cargo handling operations, container cargo and palletized import and export goods are frequently transported and loaded/unloaded by forklifts, raising constant concerns about worker entanglement and vehicle collision accidents. The areas around the wharf and warehouses are crowded with large vehicles and cranes, creating a noisy environment with many blind spots, where even a slight oversight can lead to serious accidents. To establish a safe working environment, it is essential to strengthen safety measures for forklifts. The BFV202 uses four cameras installed at the front and rear, along with AI, to warn drivers with audio and visual alerts when workers or obstacles enter dangerous areas. This helps prevent contact and entanglement accidents, supporting safe and stable operations even in the harsh cargo handling environments unique to ports. 【Usage Scenarios】 - Loading and unloading of containers and palletized cargo by forklift - Moving and storing pallets within warehouses and yards - Cargo handling and transportation operations around wharves and berths 【Benefits of Implementation】 - Prevents contact between workers and vehicles, ensuring worker safety - Reduces accident risks in port cargo handling - Achieves smooth cargo processing through visualization and efficiency improvements
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In the forestry field, logs and lumber are transported and loaded using forklifts and heavy machinery with grapples. However, handling long and irregularly shaped wood can obstruct visibility, creating many blind spots and increasing the risk of contact and falling. Especially in accumulation yards and sawmills, workers and heavy machinery often operate in close proximity, creating an environment where accidents due to human error are likely to occur. The BFV202 continuously monitors the surroundings of heavy machinery in three dimensions using four cameras and AI, providing immediate warnings to operators when workers enter dangerous areas. This helps prevent serious accidents such as contact and entrapment, reduces the risk of wood falling or being damaged, and contributes to the efficiency of loading operations. 【Usage Scenarios】 - Transportation of timber within forests - Safety management at logging sites - Loading and unloading of lumber 【Benefits of Implementation】 - Ensures the safety of workers and reduces the risk of accidents - Supports proper resource management - Contributes to improved work efficiency
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In the agricultural field, various tasks are performed, such as transporting materials and moving harvested goods using forklifts. There are many situations involving heavy items, such as containers of vegetables and fruits, bulk bags of rice and feed, and pallets loaded with fertilizers and pesticides, and working outdoors or on uneven terrain is common. While the use of forklifts improves work efficiency, it also carries the risk of accidents involving contact with people or objects. Ensuring a safe working environment and improving work efficiency are important challenges. The BFV202 monitors the area around the forklift with four cameras and AI, detecting intrusions into hazardous areas and warning the driver. This helps prevent oversights in warehouses and fields, reduces the risk of contact accidents, and creates a safe and stable agricultural work environment. 【Usage Scenarios】 - Harvesting and transporting agricultural products - Loading and unloading materials - Cargo handling within warehouses 【Benefits of Implementation】 - Reduced risk of accidents during forklift operations - Increased safety awareness among workers - Decreased interruptions in work, leading to improved efficiency
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In the logistics industry, accidents during forklift operations are a significant issue. In particular, collisions and entrapments caused by blind spots not only threaten the safety of workers but also carry risks of operational delays and liability claims. The "BFV202" monitors the area around the forklift with four cameras and AI, detecting worker intrusions into hazardous areas and issuing warnings. This helps prevent accidents and creates a safe working environment. 【Usage Scenarios】 - Forklift operations in warehouses - Loading and unloading operations on trucks - Transportation operations within facilities 【Benefits of Implementation】 - Reduces the risk of accidents during forklift operations - Enhances workers' safety awareness - Improves operational efficiency - Strengthens safety management systems
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In environments where forklifts are used, unexpected collisions and entrapments still occur, making safety measures essential. The "BFV202" monitors the surroundings with four cameras installed at the front and rear, and AI automatically detects workers who enter designated caution and danger areas. When detection occurs, it issues audio and visual warnings to the driver, helping to raise awareness of potential hazards and preventing serious accidents such as entrapments and collisions. Compared to a system that relies solely on visual checks, the BFV202 enables more reliable and sustainable safety management. It can be retrofitted to existing forklifts, eliminating the need for vehicle replacement or extensive construction. We have provided a video that clearly illustrates the usage of this system on-site! Please take a look.
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