VisionEdge
An edge computing device suitable for various scenarios, capable of connecting to video sources for primary inference analysis and further forwarding to VisionCore for secondary analysis. Software licensing modal available if you want to purchase your own Nvidia or Rockchip hardware.
VisionEdge - a portfolio of edge computing devices and servers
VisionEdge-400
Deep analysisServer
• Enterprise-grade 4U server design with a built-in industrial-grade artificial intelligence data analysis platform.
• Built-in deep learning models for industrial object recognition, behavior analysis, and full-process production analysis, trained on massive industrial video datasets.
• Single or multi-server clusters can be deployed to build a private enterprise cloud.
• Real-time analysis capability on a single device.20-80channels of H.264 high-definition video analysis.210channels of H.264 HD video streams
VISIONEDGE-200
Edge Analyzer All-in-One machine
• Enterprise-grade 4U server design with a built-in industrial-grade artificial intelligence data analysis platform.
• Built-in deep learning models for industrial object recognition, behavior analysis, and full-process production analysis, trained on massive industrial video datasets.
• Real-time analysis capability on a single device.10-40channels of H.264 HD video analysis, supports hundreds of simultaneous video streams.
VISIONEDGE-100
Edge Analyzer All-in-One machine
• 1U Industrial machine design.
• Designed for front-end deployment in multi-level distributed processing.
• Real-time video stream preprocessing, dynamically forwarding data to the central all-in-one machine for deep analysis based on predefined rules.
• Each device can support up to 30 channels of 1080P HD video input.
• Multiple front-end devices can form a cluster, dynamically distributing computing power.
• Requires integration with a central deep analysis all-in-one machine or a central cloud platform to form a real-time analysis system.
visionedge-50
Embedded edge compute device
•Rockchip or Nvidia Orion Nano platform depends on the use case
• Built-in deep learning models trained on massive industrial video datasets for detecting smoke, fire, electronic fences, safety helmets, safety reflective vests, work uniforms, face masks, phone usage, and smoking monitoring.
•Can analyze in real time5-10channel(s) of video streams. Low power consumption, easy to upgrade traditional video surveillance to enable AI capabilities.
• Embedded rugged industrial computer design with industrial-wide temperature support, suitable for various outdoor operations and in-vehicle mobile equipment applications.
VISIONEDGE-10
Embedded edge compute device
• Built-in deep learning models trained on massive industrial video datasets for detecting smoke, fire, electronic fences, safety helmets, safety reflective vests, work uniforms, face masks, phone usage, and smoking monitoring.
• Analyze in real time for1-2channel(s) of video streams. Low power consumption, easy to upgrade traditional video surveillance to enable AI capabilities.
• Embedded rugged industrial computer design with industrial-wide temperature support, suitable for various outdoor operations and in-vehicle mobile equipment applications.
English 
Chinese