We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Detection System.
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Detection System Product List and Ranking from 144 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Mar 18, 2026~Apr 14, 2026
This ranking is based on the number of page views on our site.

Detection System Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Mar 18, 2026~Apr 14, 2026
This ranking is based on the number of page views on our site.

  1. 吉川工業 Fukuoka//Other manufacturing
  2. ビーアイ 本社 Tokyo//Resin/Plastic
  3. null/null
  4. 4 新東工業 Aichi//Industrial Machinery
  5. 5 null/null

Detection System Product ranking

Last Updated: Aggregation Period:Mar 18, 2026~Apr 14, 2026
This ranking is based on the number of page views on our site.

  1. Warning for forgetting to hook the harness during high-altitude work! "Harness Alert" 吉川工業
  2. Lithium-ion battery off-gas detection system Li-ion Tamer
  3. Fuel Oil Leak Detection System - TraceTech TT5000
  4. Forklift and personnel proximity alarm! "Worker Proximity Detection System" 吉川工業
  5. 4 DRACHEⓇ Alcohol Detection System (Alcohol Detector) 新東工業

Detection System Product List

211~240 item / All 275 items

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[Development Case] Development of Automobile Collision Avoidance System

Comprehensive provision from software to hardware! Introducing a case study on the development of an automotive collision avoidance system.

To put technologies such as object detection using Deep Learning into practical use, systematization is essential. At our company, in addition to Deep Learning, we have proposed software based on the hardware control and communication technologies we have cultivated so far. Furthermore, we provide all the elements necessary for systematization in a one-stop manner, including the selection of hardware such as cameras suitable for the system. [Development Example] ■ OS: Windows, Linux ■ Development Period: PoC 3 months, Development 4 months (prototype) ■ Number of Developers: 3 people ■ Development Languages: C#, C++ ■ Network Used: YOLO v4 tiny *For more details, please refer to the PDF materials or feel free to contact us.

  • Other contract services
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Cloud-based Water Leakage Detection System for Warehouses

Avoid quality deterioration of steel material storage sites. Early detection of water exposure.

In warehouse inventory management, maintaining the quality of steel materials is extremely important. Water exposure due to condensation or leaks can lead to significant damage, including the occurrence of red rust and white rust on steel, deterioration of surface quality, increased reprocessing costs, shipping delays, and complaints. In particular, water exposure that occurs during nighttime or unmanned hours tends to go unnoticed. This system uses highly sensitive sensors installed in the storage area to instantly detect even minute amounts of moisture and notify in real-time, preventing the expansion of damage before it occurs. 【Usage Scenarios】 - Warehouses for storing steel and metal products - Wanting to ensure thorough quality control of products - Aiming to establish a 24/7 monitoring system 【Benefits of Implementation】 - Suppression of quality deterioration due to water exposure - Minimization of damage through early detection - Reduction of inventory management costs

  • Other measurement, recording and measuring instruments
  • Other quality control systems
  • Detection System

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AI camera-based danger detection system for logistics

Preventing collision accidents with AI! Protecting safety in logistics operations.

In the logistics industry, collisions involving forklifts and workers have become a significant issue. These accidents not only cause material damage but also lead to worker injuries and interruptions in operations, resulting in losses for companies. An AI camera-based hazard detection system can detect dangers in real-time from on-site camera footage, preventing accidents before they occur. 【Use Cases】 - Prevention of contact between forklifts and pedestrians - Prevention of contact during truck loading and unloading - Prevention of collisions between vehicles on-site 【Benefits of Implementation】 - Reduction in the number of accidents - Improvement in workers' safety awareness - Strengthening of the company's safety management system

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
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AI Camera-Based Hazard Detection System for Medical Facilities

AI detects fall risks and protects the safety of residents.

In medical facilities, falls among residents can lead to serious accidents. Falls can cause fractures and injuries, significantly reducing the quality of life and also increasing medical expenses. To mitigate the risk of falls, it is important to detect signs of falling early and respond quickly. Our AI camera-based hazard detection system has been developed to ensure the safety of residents. 【Use Cases】 - Monitoring residents' walking conditions - Detecting unsteadiness when standing up - Immediate notification in the event of a fall 【Benefits of Implementation】 - Early detection of fall risks - Reduction in accidents caused by falls - Improved safety for residents

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  • EAI/ETL/WEB application server
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AI Camera-Based Wandering Detection System for Care Facilities

AI-equipped wandering detection system to protect the safety of residents.

Wandering in nursing facilities is a serious issue that threatens the safety of residents. Especially during nighttime or times when staff is scarce, early detection becomes difficult, increasing the risk of accidents. Our AI camera-based danger detection system detects residents entering specific areas within the facility and immediately issues alerts, preventing accidents caused by wandering. 【Usage Scenarios】 - Nursing facilities - Group homes - Dementia care group living 【Benefits of Implementation】 - Ensuring resident safety - Reducing burden during nighttime and staff shortages - Lowering the risk of accidents

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  • EAI/ETL/WEB application server
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Security-oriented AI camera danger detection system

Detects intruders in real-time and ensures the safety of the site.

In the security industry, it is important to quickly detect the intrusion of suspicious individuals and prevent damage before it occurs. Particularly, monitoring in areas that are prone to darkness or blind spots poses challenges such as staff shortages and increased costs. An AI camera-based danger detection system detects the intrusion of suspicious individuals in real-time based on the footage from cameras installed on-site. When danger is detected, it issues an immediate warning through flashing lights or audio alerts, while simultaneously notifying the administrator to enable rapid response and accident prevention. 【Usage Scenarios】 - Places with a large number of people coming and going, such as commercial facilities, office buildings, parking lots, and factories - Monitoring during nighttime or times with low foot traffic - Monitoring for intrusions into restricted areas 【Benefits of Implementation】 - Deterrence of damage caused by suspicious individuals - Reduction of the burden on security personnel - Establishment of a 24/7 monitoring system - Recording of footage that serves as evidence

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
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  • Detection System

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AI camera-based hazard detection system for transportation.

AI detects accident occurrence risks and supports safe operations.

In the analysis of transportation accidents, it is important to accurately understand the circumstances of the accident and implement measures to prevent recurrence. Particularly in the case of personal injury or vehicle accidents, it is necessary to identify the causes of the accident and take measures to prevent similar incidents from occurring in the future. Our AI camera-based hazard detection system detects dangerous behaviors in real-time, reducing the risk of accidents. 【Usage Scenarios】 - Prevention of falls within train stations - Detection of unauthorized entry into railway crossings - Detection of troubles inside buses 【Benefits of Implementation】 - Rapid response during accidents - Early identification of accident causes - Reduction in the number of accidents

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
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AI camera-based fall detection system for shipbuilding.

Reduce the risk of falls in high-altitude work! We protect safety in shipbuilding sites.

In the shipbuilding industry, working at heights is essential, and the risk of falls is always present. Ensuring the safety of workers is crucial for adhering to deadlines, reducing costs, and maintaining the trust of the company. An AI camera-based fall detection system can detect falls in real-time from camera footage in high work areas, enabling prompt responses. This helps reduce the risk of accidents and creates a safe working environment. 【Usage Scenarios】 - High work areas in shipyards - Work on scaffolding or cranes - Painting and welding work areas 【Benefits of Implementation】 - Early detection and response to fall accidents - Increased safety awareness among workers - Reduced risk of work-related injuries - Maintenance of work efficiency

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
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  • Detection System

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AI camera-based fall detection system for plants

We will prevent falls and ensure the safety of the plant.

In the plant industry, ensuring the safety of workers is the top priority. Slip and fall accidents can lead not only to serious workplace injuries but also to work interruptions and a loss of trust in the company. An AI camera-based hazard detection system can detect falls in real-time from on-site camera footage, enabling swift responses. This helps reduce the risk of accidents and creates a safe working environment. 【Usage Scenarios】 - Throughout the plant premises - High-altitude work areas - Areas with poor footing - Material delivery routes 【Benefits of Implementation】 - Early detection and response to slip and fall accidents - Increased safety awareness among workers - Reduced risk of workplace injuries - Maintenance of work efficiency

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  • EAI/ETL/WEB application server
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AI camera-based fall detection system for cleaning purposes

We ensure the safety of high-altitude cleaning operations and prevent falls before they occur.

In the cleaning industry, especially in high-altitude cleaning, ensuring the safety of workers is extremely important. Working at heights carries a high risk of falls, and any accidents can lead to serious occupational injuries. An AI camera-based hazard detection system can detect falls in real-time from on-site camera footage, enabling prompt responses. This helps reduce the risk of accidents and creates a safe working environment. 【Usage Scenarios】 - General high-altitude cleaning operations - Areas with poor footing - High-altitude work zones 【Benefits of Implementation】 - Early detection and response to fall accidents - Increased safety awareness among workers - Reduced risk of occupational injuries

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  • EAI/ETL/WEB application server
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  • Embedded system design service
  • Detection System

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AI camera-based fall detection system for railways

We protect the safety of track workers and reduce the risk of accidents.

In the railway industry, ensuring the safety of track workers is crucial. Track work often takes place at heights or in areas with poor footing, leading to a high risk of falls. Fall accidents can result in injuries to workers, interruptions in work, and potentially impact railway operations. An AI camera-based hazard detection system can detect falls in real-time from camera footage on-site, enabling prompt responses. This helps reduce the risk of accidents and creates a safer working environment. 【Usage Scenarios】 - High-altitude work areas along the tracks - Track maintenance work sites - Material delivery routes 【Benefits of Implementation】 - Early detection and response to fall accidents - Increased safety awareness among workers - Reduced risk of work-related injuries - Minimization of impacts on railway operations

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based fall detection system for airports

We ensure the safety of runway workers and reduce the risk of accidents.

On the airport runway, various tasks such as maintenance and cleaning are carried out. These tasks carry the risk of slip and fall accidents, making the safety of workers a priority. Slip and fall accidents can lead to work interruptions and may hinder the operation of the runway. An AI camera-based hazard detection system can detect falls in real-time from the camera footage on-site, enabling prompt responses. This helps reduce the risk of accidents and creates a safe working environment. 【Usage Scenarios】 - Runway maintenance area - Surroundings of aircraft - Movement paths of workers 【Benefits of Implementation】 - Early detection and response to slip and fall accidents - Increased safety awareness among workers - Reduction of occupational accident risks - Maintenance of work efficiency

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  • EAI/ETL/WEB application server
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Port-oriented AI camera danger detection system

Detecting foreign substances with AI! Protecting the safety of ports.

In the port industry, accidents and troubles caused by foreign object contamination have become a significant issue. These problems lead to a decline in product quality, loss of corporate trust, and interruptions in operations, resulting in financial losses for companies. An AI camera-based hazard detection system can detect the potential for foreign object contamination in real-time from on-site camera footage, preventing accidents before they occur. 【Usage Scenarios】 - Detection of foreign object contamination in containers - Detection of foreign object contamination in cargo - Prevention of foreign object contamination on-site 【Benefits of Implementation】 - Reduction of foreign object contamination risks - Maintenance of product quality - Improvement of corporate reliability

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  • EAI/ETL/WEB application server
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  • Detection System

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AI Camera-Based Hazard Detection System for Food Factories

AI protects the safety of food factories and supports quality control.

In the food industry, contamination by foreign objects and accidents caused by worker negligence pose significant risks to product quality. In particular, contamination on the production line not only undermines corporate trust but can also harm consumer health. An AI camera-based hazard detection system detects dangers in real-time from on-site camera footage, preventing accidents and contamination before they occur. 【Use Cases】 - Prevention of foreign object contamination on the production line - Prevention of contact between forklifts and workers - Prevention of collisions between vehicles on-site 【Benefits of Implementation】 - Reduction of foreign object contamination risks - Decrease in the number of accidents - Strengthening of food safety management systems

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  • EAI/ETL/WEB application server
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  • Detection System

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AI camera-based danger detection system for retail stores

AI detects suspicious individuals! It protects stores from shoplifting and unauthorized intrusions.

In the retail industry, losses due to shoplifting and unauthorized entry have become significant challenges. These actions not only result in product loss but also negatively impact store operations. An AI camera-based danger detection system can detect suspicious behavior in real-time from store camera footage, helping to prevent theft before it occurs. 【Usage Scenarios】 - Detection of suspicious individuals at store entrances - Detection of suspicious behavior around product display shelves - Detection of unauthorized entry into the backroom 【Benefits of Implementation】 - Reduction of shoplifting incidents - Prevention of damages from unauthorized entry - Ensuring employee safety

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
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Medical AI Camera-Based Hazard Detection System

Protecting safety in medical settings! We prevent collision accidents during transport with AI.

In the medical transportation industry, the safe movement of patients, healthcare workers, and medical equipment is essential. In particular, transporting in narrow hallways and crowded areas increases the risk of collision accidents. These accidents can lead to patient injuries, damage to medical equipment, and interruptions in operations, potentially affecting the quality of medical services. An AI camera-based hazard detection system detects dangers in real-time from on-site camera footage, preventing accidents before they occur. 【Use Cases】 - Preventing contact between stretchers, wheelchairs, and pedestrians - Preventing contact during the transportation of medical equipment - Preventing collisions between vehicles within the facility 【Benefits of Implementation】 - Reduction in the number of accidents - Increased safety awareness among healthcare workers - Ensuring the safety of patients and healthcare workers

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  • EAI/ETL/WEB application server
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AI camera-based hazard detection system for mining.

Prevent heavy machinery accidents with AI! We protect safety at mining sites.

In the mining industry, contact accidents between heavy machinery and workers are a significant issue. These accidents not only cause material damage but also lead to worker injuries and interruptions in operations, resulting in losses for companies. An AI camera-based hazard detection system detects dangers in real-time from site camera footage, preventing accidents before they occur. 【Use Cases】 - Prevention of contact between heavy machinery and workers - Prevention of collisions between vehicles on site - Ensuring safety at mining sites 【Benefits of Implementation】 - Reduction in the number of accidents - Increased safety awareness among workers - Strengthening of the company's safety management system

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
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AI Camera-Based Danger Detection System for Theme Parks

Early detection of lost children with AI! We ensure the safety of theme parks.

In theme parks, many children visit, and there is a possibility of them getting lost. Being lost comes with the anxiety of being separated from parents and the risk of unexpected accidents. An AI camera-based danger detection system detects specific individuals in real-time and assists in the early discovery of lost children. 【Usage Scenarios】 - Searching for lost children within the park - Detecting entry into specific areas - Providing rapid information to parents 【Benefits of Implementation】 - Reducing response time when a child is lost - Ensuring the safety of children - Increasing parents' sense of security

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  • EAI/ETL/WEB application server
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  • Detection System

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AI camera-based danger detection system for hospitals

AI detects fall risks and protects the safety of residents.

In hospitals, falls among hospitalized patients can lead to serious accidents. Falls can cause fractures and injuries, prolonging the treatment period and significantly reducing the patient's quality of life, as well as increasing medical costs. To mitigate the risk of falls, it is important to detect signs of falling early and respond quickly. Our AI camera-based hazard detection system has been developed to ensure patient safety. 【Usage Scenarios】 - Monitoring patients' walking conditions - Detecting unsteadiness when standing up - Immediate notification in the event of a fall 【Benefits of Implementation】 - Early detection of fall risks - Reduction in accidents caused by falls - Improvement in patient safety

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
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  • Detection System

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AI camera-based hazard detection system for rehabilitation facilities.

AI analyzes posture and improves the quality of rehabilitation.

In rehabilitation facilities, the evaluation of patients' posture influences the effectiveness of rehabilitation. Accurate posture analysis is essential for developing appropriate rehabilitation plans. Our AI camera-based danger detection system has been developed to support posture analysis. 【Usage Scenarios】 - Posture analysis during walking - Evaluation of sitting posture - Monitoring movements during rehabilitation 【Benefits of Implementation】 - Acquisition of objective posture data - Optimization of rehabilitation plans - Visualization of rehabilitation effects

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  • EAI/ETL/WEB application server
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  • Detection System

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AI Camera-Based Danger Detection System for Psychiatry

AI detects the risk of self-harm and protects the safety of patients.

In psychiatric medical facilities, self-harm by patients is a serious issue. Self-harm can lead to physical injuries, prolong treatment periods, and increase mental burdens. To mitigate the risk of self-harm, it is crucial to detect abnormal behavior early and respond swiftly. Our AI camera-based danger detection system has been developed to ensure the safety of patients. 【Usage Scenarios】 - Monitoring behavior in patient rooms and shared spaces - Detecting entry into specific areas - Detecting abnormal behavior 【Benefits of Implementation】 - Early detection of self-harm risks - Reduction of accidents due to self-harm - Improvement of patient safety

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  • EAI/ETL/WEB application server
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AI camera-based danger detection system for research facilities.

AI monitors the entry and exit of research facilities, enhancing safety management.

In research facilities, strict access control is required to protect confidential information and valuable experimental equipment. Intrusions by suspicious individuals or unauthorized access to restricted areas can lead to information leaks or accidents. Our AI camera-based hazard detection system has been developed to enhance safety management in research facilities. 【Usage Scenarios】 - Access control to designated areas - Detection of intrusions by suspicious individuals - Monitoring of researchers' behavior 【Benefits of Implementation】 - Deterrence of unauthorized access - Improvement of security levels - Increased sense of security for facility users

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
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AI Camera-Based Hazard Detection System for Hotels

AI detects fall risks and ensures the safety of guests.

In hotels, there are cases where guests may suddenly experience health issues or falls that require emergency response. Falls can lead to injuries or further deterioration of health, necessitating prompt action. Our AI camera-based hazard detection system has been developed to ensure the safety of guests. 【Usage Scenarios】 - Monitoring walking conditions in guest rooms and common areas - Detecting unsteadiness when standing up - Immediate notification in the event of a fall 【Benefits of Implementation】 - Early detection of fall risks - Reduction in accidents due to falls - Improved safety for guests

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
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【AirDia】Smartphone Monitoring Feature

A system that has achieved results in truck logistics! Introducing the anomaly detection process using Beacon.

"AirDia" is a system that uses factory automation (FA) technology. The abnormal detection process for the smartphone monitoring feature using "Beacon" includes: “Activation,” “Motion Detection,” “Beacon Detection,” and “GPS Detection.” The Beacon can transmit signals up to 300 meters at a low cost and does not require a power source (battery). Our company has established reliability through a combination analysis technology that excels in automotive technology. 【Abnormal Detection Process (Beacon)】 ■Activation ■Motion Detection ■Beacon Detection ■GPS Detection ■Notification *For more details, please refer to the PDF document or feel free to contact us.

  • Other security and surveillance systems
  • Other information systems
  • Detection System

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Alcohol Check "Online Roll Call"

Revolution of roll call, eradicate drunk driving! Everything from detection to key acquisition is online.

Our company offers an "Online Roll Call" system that combines mobile alcohol detectors with smartphones via the cloud to assess alcohol check results. It automatically controls the retrieval of car keys stored in a "mobile key box," ensuring the security of the keys. This system provides a deterrent effect during times when the operations manager is absent, such as for single individuals, remote business trips, resuming driving after long breaks, night shift drivers, and night-time system maintenance personnel. 【Benefits】 ■ Since any issues are identified before starting work, transportation industries (taxis, trucks, railways, airlines, etc.) can have time to prepare alternatives right before the shift. *For more details, please download the PDF or feel free to contact us.

  • Other measurement, recording and measuring instruments
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Wireless output 0! Completely passive illegal drone detection "R2-Wireless"

Wireless output 0! Completely passive illegal drone detection solution.

R2-Wireless can protect against all drone threats with an end-to-end solution powered by its proprietary cutting-edge AI-equipped RF sensing SDR technology. ★Key Features★ Almost all drones other than DJI can be detected! Including Parrot, Autel, Skydio, SwellPro, Ruko, Hubsan, Yuneec, Futuba, etc. (including remote controls) Other Features - Continuously scans ultra-wideband below 6GHz - Optionally identifies and specifies unidentified objects - High-precision AI-based TDoA method enables wide-area location detection - Identifies threats (drones, remote ID, controllers, etc.) using special algorithms and AI - Open API allows integration with third-party systems (e.g., backing up remote ID, etc.)

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Learn from events! What is drone radio communication? Explaining the threats of drones.

Why do drone intrusions occur in prohibited areas? Explanation of causes and countermeasures!

With the spread of drones, a concern is the unauthorized entry of drones into prohibited areas due to incorrect operation or illegal flights. Are you aware of the 2024 Yokosuka Base drone intrusion filming incident? It was an event where a drone illegally entered the Yokosuka Naval Facility and captured aerial footage of escort ships, destroyers, and aircraft carriers docked within the base and facilities. Drones are also used as devices equipped with communication functions, and these two are paired to enable the drone to send and receive data via wireless communication. R2-Wireless can detect almost all drones except for DJI. Additionally, it continuously scans ultra-wideband below 6GHz, and as an option, it can identify and classify unidentified objects, contributing to the detection of unauthorized drones. *For more details, please refer to the PDF document or feel free to contact us.*

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[Market Report] Global Market for Child Presence Detection Systems

Enhancing Child Safety: The Global Market for Child Presence Detection Systems Gains Momentum

The global child presence detection system market is witnessing a surge in demand as the need for advanced safety solutions for children in vehicles becomes increasingly critical. Child presence detection systems, which focus on accident prevention and ensuring the health of young passengers, are emerging as groundbreaking technological innovations addressing a globally significant concern. Child presence detection systems provide proactive solutions to the tragic issue of children accidentally being left behind in vehicles, especially during extreme weather conditions. These systems utilize cutting-edge technologies such as sensors, cameras, and artificial intelligence to monitor the presence of children in vehicles and alert caregivers or authorities when potential risks are detected. For application methods, please check the [PDF download] button or apply directly through the related links.

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[Market Report] Global Market for Blind Spot Solutions

The global market for blind spot solutions is accelerating towards safer roads, projected to be valued at 30.8 billion USD by 2031.

The global blind spot solutions market, specialized in enhancing traffic safety, is making remarkable strides. In 2022, this important market recorded sales of 12.06 billion USD. Forecasts indicate a steady compound annual growth rate (CAGR) of 11% during the projected period from 2023 to 2031, with an expected valuation of 30.8 billion USD by 2031. Blind spots are often elusive for drivers and have long been a safety concern on roads worldwide. The global proliferation of blind spot solutions plays a crucial role in addressing this issue and promoting traffic safety. For application methods, please check the [PDF download] button or apply directly through the related links.

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Applications and Types of Risks of Leak Detection Systems

A system implemented in thousands of locations around the world. Detects leaks before they occur.

We assist in the implementation of the "TraceTek Leak Detection System." This system, which has been installed in thousands of locations worldwide, including the Swiss Re Building, a symbol of London, and Shanghai Hills, serves as a powerful solution for water leak prevention within buildings. *For more details, please refer to the PDF document or feel free to contact us.*

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