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We support the development of software systems that connect Axis products with various devices and information systems. - Embedded software development - Camera customization - Communication protocol implementation support - Visualization system construction support - Cloud service integration support - Cause analysis consulting to solve "Not connecting! Why?" We assist in streaming video obtained from various cameras with low latency to various viewing environments. - Embedded software development - Communication protocol selection support - Latency improvement consulting services - Viewer development support
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Our company has been providing licensing sales for RTP/RTSP and ONVIF protocol stacks (middleware libraries) for many years, accumulating streaming know-how through user support. We often receive inquiries from customers who have implemented OSS or libraries from other companies, reporting issues such as "not connecting" or "disruptions," and we offer consulting services using tools like Wireshark. Common Issues: - No video - Streaming video is disrupted - Lack of know-how on Ministry of Land, Infrastructure, Transport and Tourism specifications - Even though the ONVIF stack has been implemented in the camera, it cannot connect to other companies' ONVIF NVRs! Common Troubles: - Streaming video is disrupted or stutters - When executing ONVIF commands, error messages such as "400 Bad Request Sender Not Authorized" are displayed. - When trying to check the camera video using the streaming URL of the ONVIF camera, the camera video cannot be retrieved.
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We have examined the network-related technologies used or potentially used in remote control systems for heavy machinery, focusing on the technical assets for which our company has know-how and protocol stacks, particularly in terms of camera footage and audio streaming. Please refer to the attached file for details.
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Our company offers a video utilization system construction service using the video, FA, and AI collaboration platform 'FA Finder.' By linking various video information from manufacturing sites with IoT data and FA equipment, we can visualize data and associate and synchronize video information with events within the process, enabling monitoring of short stoppages, AI-based defect detection (anomaly detection), and evidence management. It can easily integrate with existing systems and FA equipment, allowing for gradual expansion, making it possible to build an automation system with a small start. 【Features】 ■ Utilizes a highly extensible video collaboration platform ■ Capable of integrating with various cameras and visualization tools ■ Achieves a low-latency network environment with proprietary video streaming technology ■ Our company, with extensive experience in supporting the development of PLCs and industrial robots, provides comprehensive support from camera selection to system construction. *For more details, please refer to the materials. Feel free to contact us with any inquiries.
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Our company provides a video utilization system construction service using the video, FA, and AI integration platform 'FA Finder.' By linking various video information from manufacturing sites with IoT data and FA equipment, visualizing data, and associating and synchronizing video information with events within processes, we enable monitoring of short stoppages, defect detection through AI (anomaly detection), and evidence management. It can easily integrate with existing systems and FA equipment, allowing for gradual expansion, making it possible to build an automation system with a small start. 【Features】 ■ Utilizes a highly extensible video integration platform ■ Capable of integrating with various cameras and visualization tools ■ Achieves a low-latency network environment with proprietary video streaming technology ■ Our company, with extensive experience in supporting the development of PLCs and industrial robots, provides comprehensive support from camera selection to system construction *For more details, please refer to the materials. Feel free to contact us with any inquiries.
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The Streaming Terakoya is a practical knowledge base for engineers developing data streaming and network functionalities. It compiles hints and our practical know-how in a Q&A format to solve challenges in the development of devices and systems. It is particularly aimed at intermediate to advanced users who require low latency and simultaneous multiple connections. This time, we will introduce "Implementation of Industrial Networks Q&A." [Examples of Questions] *Excerpt ■Q1: I want to improve the accuracy of time synchronization using EtherCAT; can you provide some key points? ■Q2: I would like to build a PLC using Raspberry Pi or CODESYS on Windows to test the connectivity of a product under development with the PLC; are there any points to be cautious about? *For more details, please refer to the materials. Feel free to contact us with any inquiries.
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The Streaming Terakoya is a practical knowledge base for engineers developing data streaming and network functionalities. It compiles hints and our practical know-how in a Q&A format to solve challenges in the development of equipment and systems. It is particularly aimed at intermediate to advanced users who require low latency and simultaneous multiple connections. This time, we would like to introduce the "Q&A Collection on Visualizing Production Sites." We provide know-how gained through our video utilization system construction service using the video, FA, and AI collaboration platform "FA Finder" in a Q&A format. [Examples] *Excerpt ■Q1: I want to utilize camera footage in the production area; what points should I pay attention to initially? ■Q2: Is there an easy way to compare footage from cameras installed at points where issues occur in the factory with footage from cameras used for overall monitoring? And more. *Please refer to the materials for more details. Feel free to contact us with any inquiries.
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FA Finder is a highly extensible video integration platform that easily connects video information obtained from cameras with various information systems (IoT data) and FA equipment. By linking and synchronizing recorded footage and AI video analysis results with visualized data and events within processes, it can be utilized for dashcams, inspection systems, predictive maintenance, operational monitoring, and traceability systems. It can utilize cameras already present in factories. Additionally, when introducing new cameras, we assist customers in selecting the most suitable cameras regardless of the manufacturer. It is compatible with various types of cameras, including high-speed cameras, surveillance cameras, explosion-proof cameras, and scanning cameras. Main uses: • Analyzing the causes of defective products and equipment failures (synchronized playback of surveillance cameras and high-speed cameras) • Predictive maintenance (AI predicts from surveillance camera footage) • Skill transfer from experienced technicians • Ensuring quality with video as evidence.
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In response to equipment malfunctions occurring on high-speed production lines, we have established a system that allows for simultaneous recording and playback using high-speed cameras and IP cameras, in conjunction with the production line. Furthermore, we have created a mechanism that enables playback of footage at different frame rates (30fps and 500fps) on the same timeline, allowing for precise verification of the moment a malfunction occurs. Please refer to the materials for more details.
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We will introduce a traceability and evidence management system built using "FA Finder" with added "video information," ranging from simple to large-scale systems.
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We would like to introduce a case where the inspection process of vehicles linked the status of inspections and inspection results to video, providing evidence that the inspections were conducted correctly. By linking videos to reports that were traditionally written only in text, the credibility of the reports has been enhanced. In the future, it is planned that the process will not proceed to the next step until the camera confirms the operator, which will be applied to prevent fraud and prove legitimacy. [Reasons for Choosing FA Finder] - The videos are readily available for use, and there is minimal time required for customization and on-site implementation. - Even in the Proof of Concept (PoC), costs and time can be saved. *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case study of the "FA Finder" implemented at a company that manufactures materials related to medical devices. The company is working on predictive maintenance, where AI analyzes camera footage to capture signs of abnormal conditions before any issues occur with the spraying equipment. In practice, it detects signs of potential problems before the nozzle becomes clogged by analyzing footage of the liquid spray emitted from the nozzle. 【Case Overview】 ■Initiatives - Predictive maintenance that captures signs of abnormal conditions by having AI analyze camera footage before any issues occur with the spraying equipment. ■System - Detecting signs of potential problems before the nozzle becomes clogged by analyzing footage of the liquid spray emitted from the nozzle. *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case study of the "FA Finder" adopted by the Osaka Tanimachi Ready-Made Clothing Cooperative (Osaka Sponger), which undertakes the inspection (fabric inspection) of products for weaving irregularities, defects, and dirt from fabric manufacturers. Traditionally, fabric inspection relied on the visual assessment of skilled workers, but this has been replaced by a scanner-based line camera and AI image analysis. Furthermore, the registration of inspection results into the core system, which was previously done manually, has been automated using the "FA Finder." 【Case Overview】 ■Challenges - Although inspection standards exist, the criteria for judgment vary by individual. - Marking of abnormal (defect/dirt) areas is done by individuals. ■Benefits - Liberation from the harsh task of long hours of visual inspection and resolution of the shortage of skilled workers. - The number of inspections per day has increased approximately threefold. *For more details, please download the PDF or feel free to contact us.
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Engineers familiar with FA protocols will implement various field buses and industrial Ethernet for your products. - Multi-protocol support - CC-Link IE (including Safety and TSN) - EtherCAT (including FSoE) - Ethernet/IP - FL-net - PROFINET - BACnet - Modbus TCP - Support for the entire development process from requirement definition to implementation, verification, and conformance testing - Customization of the stack to match product specifications - Efficient implementation through appropriate use of OSS - Extensive experience with both master and slave configurations - Capable of supporting TSN and Safety
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Leveraging years of experience, knowledge, and technical assets related to streaming and networks, we provide comprehensive support for the development of equipment and systems, from requirements definition to design and implementation, proposal of various standard specifications, application development, and the establishment of verification environments.
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We will introduce how Zuken Elmic's video streaming technology can contribute to the field of IVI (in-vehicle infotainment) in automotive onboard devices, particularly in connected cars equipped with communication functions.
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It is often said that embedded software developers also need knowledge of hardware. So in what situations is this knowledge necessary or useful? In this article, we would like to share some experiences from our company, which specializes in contracted development of embedded software, where knowledge of hardware has been beneficial to our clients' development projects. (Here, hardware development refers to circuit development for CPUs and boards for embedded devices, including evaluation boards.) *You can view the detailed content of the blog through the related links. For more information, please feel free to contact us.*
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Currently, many surveillance camera manufacturers provide development environments such as SDKs, APIs, and open platforms. These are used by users who develop various surveillance systems for monitoring, crime prevention, remote monitoring, and remote maintenance using surveillance cameras, allowing them to integrate the cameras with other systems like NVS and video analysis functions, or to extend the capabilities of the cameras themselves. Of course, camera manufacturers strive for ease of use in their SDKs, but to fully utilize the SDK and build more advanced camera systems, knowledge of low-latency streaming, embedded operating systems, and communication protocols is required. *For more details, you can view the related links. Please feel free to contact us for more information.*
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The evolution of systems using in-vehicle cameras includes not only enhancements to the functions of traditional devices, such as external communication capabilities and video analysis support for dashcams, but also new services like surround view camera systems that utilize multiple cameras to ensure 360-degree visibility, telematics insurance that collects driving information for calculating premiums, remote monitoring systems that use in-vehicle camera footage for real-time monitoring and alerts from remote locations, and safety/operation management. Among these, there are systems that require low-latency video streaming, where real-time capability is extremely important. *For more details on the blog, please refer to the related links. Feel free to contact us for more information.*
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In smart stores, it is possible to utilize video not only for in-store security but also for managing out-of-stock items on shelves and for marketing purposes. Furthermore, recently, smart shopping carts and self-checkouts that rely on video and image analysis AI, rather than barcodes, are becoming practical. The video is aggregated through the central store of the surrounding area, and in the core department, the footage from all stores can be integrated with AI and other systems to assist in marketing strategies and other store strategies. *For more details about the blog, you can view it through the related links. Please feel free to contact us for more information.*
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This is a development environment that consolidates the necessary software modules for streaming data clients and control functions that flexibly accommodate various devices and operating systems into one package. It can quickly and cost-effectively respond to the diversification of viewing environments.
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A product that has middleware capabilities based on the security network video interface standards established by ONVIF (Open Network Video Interface Forum). It consists of a network-side subset (IPcam), a client-side subset (IPmon), and a recording device subset (IPrec), enabling efficient development of network video, video recorders, and cameras with embedded storage that comply with ONVIF specifications. Additionally, there is a video encoder module for connecting to analog surveillance cameras to make them ONVIF compatible, as well as an SDK for a viewer that allows mobile phones and tablets to view cameras on the network.
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This is a middleware library for realizing the communication standard "ECHONET Lite," which connects home appliances and equipment from different manufacturers to create a home network. It packages the OS (μITRON) and the lower communication layer (TCP/IP) together, improving development efficiency. 【Features】 ■ Supports ECHONET Lite Ver.1.12 ■ Compatible with TCP/IP communication ■ Supports APPENDIX ECHONET device objects B, C, D, E, F, G ■ Compatible with both ECHONET Lite devices (such as refrigerators and air conditioners) and remote control controllers ■ Only the necessary device objects can be selected and implemented, reducing memory usage. When implementing all objects for development of controllers, the type of counterpart objects (B to G) does not matter. ■ Compatible with both ECHONET Lite devices (such as refrigerators and air conditioners) and remote control controllers. *For more details, please request materials or view the PDF data from the download.
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