




·Video stream processing latency is reduced to milliseconds
·Supports dozens of mainstream visual models
·Ultra-low-power edge deployments
·Facial/gait recognition and authentication
·Abnormal behavior detection
·Intrusion alarm system
·Personnel demographic analysis
·Real-time recognition on mobile
·Portable testing equipment
·Handheld scanners
·Mobile robot vision
·3D scene reconstruction
·Stereo modeling of objects
·Spatial measurement analysis
·Virtual reality content generation
·Autonomous navigation and positioning
·Object recognition and grabbing
·Obstacle avoidance through environmental awareness
·Human-computer interaction recognition
·Real-time detection of product quality
·Line defect identification
·Monitoring of the assembly process
·Automated sorting system
· The latency of video stream processing is reduced to milliseconds, and multi-channel concurrent video analysis is supported
· Native support for all YOLO models, perfect adaptation to ResNet series networks
· The power consumption of edge deployment is greatly reduced, and localized processing improves system stability
· Automatically optimizes inference performance based on scenarios, and intelligently balances model accuracy and speed
·Shorten time-to-market and simplify system integration complexity
·CPU performance for vision tasks is severely insufficient
·Real-time performance is not guaranteed
·Extremely low power efficiency
·There is no dedicated vision acceleration unit
·The power consumption is on the high side, and the heat dissipation requirements are strict
·The cost is relatively high
·The degree of customization is limited
·Not suitable for portable applications
·General-purpose processor with limited visual optimization
·It is difficult to switch between multiple models
·The development toolchain is not perfect
·Power consumption control is difficult
·Dedicated vision AI accelerator
·Complete visual reasoning framework
·Multi-model parallel processing
·Ultra-low power design
·One-stop development toolchain
The edge vision AI market is growing rapidly
The demand for handheld portable devices has exploded
The application of 3D modeling is maturing day by day
The need for real-time processing is highlighted