Edge Computing AI
Algorithms
Edge computing enables real-time data processing on devices, eliminating cloud dependency and
reducing latency and costs for IoT and security applications.
AI Algorithm Partnership with Major Chip Manufacturers
With official partnership w/international chipmakers such as Qualcomm, MediaTek, and Ambarella, we can free-access development kits and R&D resources for various applications.
Diverse Lightweight AI Recognition Algorithms
Equipped with over a dozen lightweight AI algorithm models, our solutions integrate with low-power, low-compute chips, suitable for various leading IoT and edge devices.
Low Energy, Low Latency, Low Cost
Running inference algorithms on-device reduces power consumption, bandwidth usage, and latency, leading to lower hardware and network costs.
Accurate and Efficient Recognition
Leveraging deep learning technology and integrating edge computing technology with a built-in AI accelerator, recognition can be completed in 50 milliseconds with accuracy above 95%.
Edge Computing
AI
Algorithms
Edge computing enables real-time data processing on devices, eliminating cloud dependency and reducing latency and costs for IoT and security applications.
AI Algorithm Partnership with Major Chip Manufacturers
With official partnership w/international chipmakers such as Qualcomm, MediaTek, and Ambarella, we can free-access development kits and R&D resources for various applications.
Diverse Lightweight AI Recognition Algorithms
Equipped with over a dozen lightweight AI algorithm models, our solutions integrate with low-power, low-compute chips, suitable for various leading IoT and edge devices.
Low Energy, Low Latency, Low Cost
Running inference algorithms on-device reduces power consumption, bandwidth usage, and latency, leading to lower hardware and network costs.
Accurate and Efficient Recognition
Leveraging deep learning technology and integrating edge computing technology with a built-in AI accelerator, recognition can be completed in 50 milliseconds with accuracy above 95%.
Edge Computing Device Examples
Quickly tailor your solution based on your needs using the following devices.
LiDAR/ToF/Radar 
RGB Image 
Virtual Generation 
Dashcam
Autonomous Vehicles
Healthcare Sensors
.png)
Safe/Access Control Devices
Security Cameras
Network Cameras
Video Conferencing Peripherals
Access Control Equipment
Augmented Reality Peripherals
Mixed Reality Peripherals
Virtual Reality Peripherals
Gaming Peripherals
Edge Computing Device Examples
Quickly tailor your solution based on your needs using the following devices.
Dashcam
Autonomous Vehicles
Healthcare Sensors
Safe/Access Control Devices
Security Cameras
Network Cameras
Video Conferencing Peripherals
Access Control Equipment
Augmented Reality Peripherals
Mixed Reality Peripherals
Virtual Reality Peripherals
Gaming Peripherals
Deployable AI Model Options
Blaze Detection
Instant detection on the presence of flames or smoke, providing earlier warnings.
PPE Detection
Ensuring individuals to wear protective gear such as helmets and reflective vests.
Tripwire Detection
Identifying people and various objects within controlled areas.
Cross Line Detection
Triggering real-time notifications when objects or people cross alert lines.
Face Recognition
Certificated by NIST FRVT 1:1 and 1:N face recognition test and CVPR with high accuracy.
License Plate Recognition
Capable of recognizing multiple license plates from different directions at the same time.
Pedestrian and Traffic Flow Detection
Real-time traffic analysis for city management and public safety.
Violation Detection
Multi-violation detection for traffic safety and law enforcement.