Technical Specifications
Embedded AI algorithm
Yorun specializes in the development of AI algorithms for embedded systems, provides high-performance AI engines with the lowest system resources and costs, and pursues the widest application of artificial intelligence.
Low Cost
High Efficiency
Offline Computing
Suitable for IoT Devices
Suitable for Edge Computing
Three recognition engines
Face Recognition Engine
Identity recognition
Face, head, human shape recognition and detection
Object Recognition Engine
object recognition
sign recognition
Image Recognition Engine
Fingerprint, book, card identification
iFace Block Diagram
Feature of YORUN AI
The most tiny face recognition engine
Engine Size 24~64K
Base Memory 0.6~1.2M
Database 1~5M
Total Memory
1.8~6.4M
Feature of YORUN AI
The most efficient detection and identification speed
Benchmark 500MHZ
face recognition
AVG 8~10 FPS
MAX FPS 40
face detection
AVG 12~15 FPS
MAX FPS 30
head detection
AVG 10～12 FPS
MAX FPS 22
Human detection
AVG 5~8 FPS
MAX FPS 20
125~200 ms/frame
Feature of YORUN AI
The most flexible applicable distance
We can adjust parameters according to customer needs, so that the recognition effect can reach the best quality within the working range.
Applicable distance and characteristic data
application
household
Face recognition home application
Commercial
Face Recognition for Stores
statistics
People calculation