Automatically identify bottlenecks in warehouses and factories from video! We quantify on-site workflows while protecting personal information through edge AI analysis.
In manufacturing lines and logistics warehouses, work delays and material stagnation occur regularly in specific areas, but improvements have not progressed because the causes cannot be objectively understood through data. Therefore, we will introduce a system that analyzes footage from AI cameras installed on-site in real-time within an edge AI box, quantifying the number of people and flow information. "Visual AI" processes live footage on-site without sending it to an external server, aggregating only the analyzed lightweight data. It visualizes the stagnation situation on a dashboard while ensuring security and privacy, enabling accurate personnel allocation and process improvements. 【Solutions to these issues】 - Unable to identify where work delays or material stagnation are occurring on-site. - No time available to stay on-site for visual counting for flow analysis. - Unable to send footage data from on-site cameras externally due to personal information protection concerns.
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basic information
Analysis Architecture | Edge-side Analysis (Edge AI Box) + Cloud/Integrated Management Platform Core Vision Technologies | Deep Convolutional Neural Networks (CNN), Semantic Segmentation, Vision Transformer (ViT), Multimodal VLM Video Input Interface | RTSP Real-time Stream, HTTP Image Stream, FTP Transfer, etc. Supported Video Codecs | H.264 / H.265 (Hardware decoding support via CPU / GPU / NPU) Algorithm Development Environment | Low-code Visual Orchestration, Plug-and-Play Support, Regular Re-learning and Model Iteration Verification Features External Integration and Notification Methods | Webhook, HTTP / WebService, JSON, Modbus, Various Alarm Push Notifications, Still Image Snapshot Saving Extended Hardware Integration | AI Cameras, Quadruped Robots, Autonomous Mobile Robots (AMR), Edge Computing Units, Drones Operation and Control Functions | 24/7 Real-time Remote Monitoring, Alarm History Management and CSV Export, Permission Management, Human-in-the-loop Control
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Factory and manufacturing line work safety monitoring: Detection of non-wearing of helmets, work clothes, and safety belts; detection of unauthorized entry into hazardous areas; early monitoring of hot work and smoke/open flames. Inspection of equipment and infrastructure appearance and condition: Inspection of loosening bolts, corrosion, and cracks in substations and transmission equipment; checking ash accumulation ratio and abnormal heating of solar panels. Autonomous patrol inspections linked to robots: Unmanned patrol monitoring of facilities, internal roads, and hazardous areas using quadruped robots (compatible with ROS2), AMRs, and drones equipped with cameras. Software and screen display comparison testing: Automated extraction of differences in screens, reports, and logs before and after system migration or updates, and regression verification using an AI test automation platform (TestRunner).
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Company information
Our company is a specialized firm that provides software outsourcing services. We have developed tools for project "visualization" and management quality improvement, such as tracking systems for ProjectPump and issue/bug management. Additionally, we have independently developed frameworks for application development and tools for streamlining testing processes, achieving overall productivity and quality improvements across the company.
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