The AI visual edge intelligent gateway uses devices with built-in visual AI accelerators that can process image data from multiple cameras, bringing a higher level of high-precision image recognition capability to visual AI applications.
Function and performance:
1) Fast visual AI processing is achieved by decoding video streams (H.264 or H.265) and processing multiple AI inference with minimal switching overhead
2) Supports high-speed visual gateway function with Ethernet protocol: 100/1000Mbps and fast USB connection
3) Supports peripheral expansion for PCI Express 2.0 (2nd generation/2 channel)
4) Integrate multiple communication devices, high-performance Wi Fi modules, compact and high-performance low-power Bluetooth (LE) modules, and LTE Cat-M1 cellular IoT modules
Through the front-end development platform, a unified visualization platform can be quickly built. It involves multiple technologies, mainly including: 3D WebGL rendering engine, model center, search rule designer, drag and drop large screen design tool, event map, data fusion center, alarm statistics panel, and so on. The platform is equipped with an alarm protocol interface, which can trigger alarms through various methods such as email, phone, and alarm lights, achieving integrated linkage and control.
The main functions include algorithm deployment, algorithm management, etc. The platform deployment is flexible and convenient, and can quickly respond to enterprise visual Al application scenarios.
By providing a full process algorithm training and development tool, the algorithm development cycle is significantly shortened. Through this platform, developers only need to focus on model design and training, application development, and application testing, without interference from environmental configuration, hardware resources, compatibility porting, optimization acceleration, interface deployment, and other issues.
SYMBOLSOFT CO., LTD
