CH 64W
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CH 64W
Product catalog summary
Abstract: The CH64W is a LiDAR system designed for detecting blind spots with a large field of view (FOV). It features an ultra-wide horizontal FOV of 180° x 40°, providing high measurement accuracy of ±3 cm, enhancing the perception capabilities of cars, robots, and Automated Guided Vehicles (AGVs) in blind areas.
Specifications:
- Model: CH64W
- Channels: 64
- Measurement Technique: Time of Flight (TOF)
- Wavelength: 905 nm
- Laser Classification: Class 1 (Eye-safe)
- Range: 80 meters
- Accuracy: ±3 cm
- Data Points Generated: 350,000 points per second
- Rotation Rate: 10Hz, 20Hz (optional)
- Field of View (FOV): Horizontal 180°, Vertical 40° (-25° to 15°)
- Resolution: Horizontal 0.36° at 10Hz, Vertical 0.63° at 10Hz
- Operating Voltage: 9V to 36V DC
- Operating Temperature: -40°C to 85°C
- Communication Interface: Automotive Ethernet 1000Base-1
- Shock Test: 500m/sec², lasting 11ms
- Vibration: 5Hz to 2000Hz, 3G rms
- Function Safety Level: ISO26262 (ASIL B)
- Ingress Protection: IP67
- Dimensions: 116 x 90 x 76 mm
Key Features: The CH64W LiDAR system is notable for its wide FOV and high accuracy, making it suitable for applications requiring precise blind spot detection. Its robust design supports a wide range of operating temperatures and conditions, ensuring reliability in various environments.
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Catalog excerpts
CH 64W Blind Spot Detection LiDAR Abstract CH64W is designed for blind area detection with large FOV. Its ultra wide horizontal field of view is 180 ° x 40 ° . The measurement accuracy is ± 3 cm which help cars, robots and AGV have excellent perception for blind areas. Parameters Model Measurement Technique Laser Classification Data Points Generated Rotation Rate Operating Voltage Operating Temperature Communication Interface Shock Test Function Safety Level
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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.