| Lens Construction (CONSTRUCTION) | 5P |
| EFL (Effective Focal Length) | 1.43mm |
| F/NO (Aperture) | 2.2±5% |
| FOV (Field of View) | D115.6° H94.72° V76.1° |
| Distortion | <13% |
| Focusing Range | TBD |
| Image Circle | Φ3.92mm |
| CHIEF RAY ANGLE | 32.7° |
| Pixel Size | 1.75um*1.75um |
| Active Pixel Array (Resolution) | 1600X1200 |
| Optical Format | 1/5.1 Inch |
| Sensor I2C Address (Sensor IIC) | 0x6C (W)/0x6D (R) |
| PDN Control (High/Low Effective) | Low effective |
| RESETB Control (High/Low Effective) | / |
| IR Type (IR/BG) | IR |
| CHIEF RAY ANGLE | 30.76° |
Premium Services We offer customized services and support for relevant development driver packages.
For any other requirements, please email:union@unimage.com.cn
For any other requirements, please email:union@unimage.com.cn

1.Night -time Obstacle Avoidance and Full - timeOperation
Navigation in Lightless Environments
Night -time Obstacle Detection
2.Depth Sensing and Intelligent Obstacle Avoidance
Stereo Depth Estimation
Recognition of Low - lying Obstacles
3.Detection of Transparent Objects and SpecialObstacles
Recognition of Glass Doors/Transparent Furniture
Detection of Highly Reflective Surfaces
4.Boundary Recognition and Fall -prevention Protection
Fall -prevention on Stairs
Virtual Wall Positioning Assistance
5.Recognition ofSpecific Objects and OperationOptimization
Recognition of Pets/Pet Waste (Combined with AlAlgorithms)
Abnormal Environment Monitoring
6.Sensor Fusion and Positioning Enhancement
Fusion with LiDAR and Ultrasonic Sensors
Adaptive Switching in High -light Environments
Navigation in Lightless Environments
Night -time Obstacle Detection
2.Depth Sensing and Intelligent Obstacle Avoidance
Stereo Depth Estimation
Recognition of Low - lying Obstacles
3.Detection of Transparent Objects and SpecialObstacles
Recognition of Glass Doors/Transparent Furniture
Detection of Highly Reflective Surfaces
4.Boundary Recognition and Fall -prevention Protection
Fall -prevention on Stairs
Virtual Wall Positioning Assistance
5.Recognition ofSpecific Objects and OperationOptimization
Recognition of Pets/Pet Waste (Combined with AlAlgorithms)
Abnormal Environment Monitoring
6.Sensor Fusion and Positioning Enhancement
Fusion with LiDAR and Ultrasonic Sensors
Adaptive Switching in High -light Environments












