Robotic Ai Vision (RAiV)

Depth Sensing and 3D Localization

RAiV is stereo camera which combines 3D vision with a powerful onboard processors. It delivers depth sensing, object detection, heading estimation with open source software for robotics and automation applications.
RAiV integrates a high-resolution stereo sensor, 6 DoF IMU, octa-core CPU, and a Google Edge TPU, providing immense processing power for 3D vision projects.

Electrical
Power 12/24VDC - 5W
GP I/O & PWM Power VDC Level – 0.2A (total)
Imaging
Resolution (RGB Bayer) 1600x1300 Mono / 3200x1300 Stereo
Shutter Type Global Shutter & Synchronized Across Sensors
FPS 60 (max)
Lens / Mount / Focus 2.8mm (default) … 25mm / S Mount / Manual
Baseline 65mm
Processing
CPU Octa-core ARM Cortex-A55 @1.8GHz
RAM 2GB LPDDR4/LPDDR4x
NAND 1GB
Encoder H264
NPU
NPU Throughput 4 TOPS peak performance (int8)
NPU Processing Time ~500ms (Yolo V8 Coco)
IMU
IMU Synchronized with Imaging Sensors
Gyroscope FSR 2000dps / Output Data Rate 200Hz
Accelerometer FSR ±2g / Output Data Rate 200Hz
Temperature Sensor Range -40 +85 / 16Bit ADC / Output Data Rate 200Hz
Connectivity
Network (Wired) 10/100/1000BASE-T
Network (Wireless) 802.11ax (Wi-Fi6)
RS-485 9600 … 115200 bps
CanBus 10 … 500 kbps
Software
Open Source Libraries NumPy, OpenCV4, ...
Browser Based Programming Firefox, Chrome, Edge...
API Python
Mechanical
Operation Temperature 0°C ~ 45°C
Dimensions / Material 3.5x10x11.9cm / Aluminum
Mounting M4-8 x2

For more information check:


Key Features:

  • 3D Measurement
  • Object Detection with 3D PositionObject Detection with 3D Position
  • Open Source Python SDKOpen Source Python SDK
  • Industrial Solution for Tough ProblemsIndustrial Solution for Tough Problems
  • Easy Integration Quick AdaptionEasy Integration Quick Adaption
  • No External HardwareNo External Hardware

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