AI Image Analysis Device | Lightweight/High-Speed Built-in AI System
For those struggling with access monitoring and object recognition! Supports alarm output, FTP transfer, email sending, event recording, and counting statistics.
UAI-02 is an AI-based video analysis device that solves problems such as "person falls" and "fire" through object/situation recognition. It supports IP cameras/thermal cameras and RTSP/ONVIF 2.0 video streams. It is suitable for object detection, tracking, and counting. 【Recommended for these issues】 ◆ Person detection ◆ Vehicle detection ◆ Intrusion detection <Reasons for being chosen> - Object detection, tracking, and counting - Lightweight/fast built-in AI system - Classes for persons/vehicles/vessels/MS COCO/other options - Compatible with IP cameras/thermal cameras - Supports RTSP/ONVIF 2.0 video streams *For more details, please contact us.
basic information
For more details, please contact us.
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Model number/Brand name
UAI-02
Applications/Examples of results
Corresponding processes/scenes: - Person detection, vehicle detection, vessel detection, intrusion detection - Line crossing/count, helmet (PPE) detection, person fall detection, fire detection
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In recent years, Japan's security camera market has been significantly influenced by the influx of new technologies and the advancement of IP technology, leading to major changes in technologies related to security cameras. Additionally, the applications of security cameras have expanded beyond traditional monitoring and crime prevention to include a wide range of uses such as improving operational efficiency and marketing. Our company has been quick to adopt IP technology for DVRs, developing dedicated software for PDA devices in 2008 and a dedicated viewer for smartphones in 2009. Since 2004, we have also been considering customer needs by providing dynamic DNS that does not require a fixed IP address for internet access free of charge. We aim to adopt technologies that lead to the future without being swayed by the latest trends in new technologies.