CM4 Industrial AI Camera

Introducing the cutting-edge CM4 Industrial AI Camera by EDATEC, a high-resolution AI camera that pushes the boundaries of imaging technology. Powered by the Raspberry Pi Compute Module 4, this innovative camera offers unparalleled performance and flexibility for your industrial imaging needs.

Capture crystal-clear images with the CM4 Industrial AI Camera's 2 megapixels, delivering exceptional detail and clarity in every shot. With a high sampling rate of up to 60 FPS, this camera ensures ultra-fast image processing, allowing you to capture fast-moving objects with precision and accuracy.

This CM4 Industrial AI Camera also leverages advanced algorithms to enhance image quality and optimize performance. From object recognition to facial detection, this camera offers endless possibilities for AI applications in industrial settings.

 

• Based on Raspberry Pi Compute Module 4 (Raspberry Pi CM4 is included and pre-installed):
  • LPDDR4 1GB RAM 
  • 8GB eMMC
• Input Voltage: 10V- 36V DC
• Power Consumption: 36W (Max)
• Operating Temperature:
  • Operating: 0°C - 45°C
  • Storage: -4°C - 60°C
• Protection:
  • IP65
  • Shock Resistance EN60068-2-27, 30g; 11ms; 3 impacts peraxial direction
  • Vibration Resistance EN 60068-2-6, 14 mm @ 2 ~ 10 Hz, 1.5mm @ 13 ~ 55 Hz 2 g @ 70 ~ 500 Hz, 2-way 2 hours per axial direction
• Visual Processing Unit:
  • H.265(HEVC), up to 4Kp60 decode
  • H.264, up to 1080p60 decode, 1080p30 encode
• Graphical Processing Unit: OpenGL ES 3.1 and Vulkan 1.0
• 2 Megapixels M12 Fixed Lens, 6mm Focal Length
• Red cross laser aiming point
• Half Polarized
• 4 areas for LED light source, supports independent configuration
• Buttons:
  • 1 x TUNE button for adjusting focus
  • 1 x TRIG button to trigger the camera
• LED Icons Indicators:
  • Power
  • Faulty
  • Working Status
  • Network
• Weight: 150g
• Dimension: 85mm x 60mm x 45mm

• System Diagram:

• 1 x CM4 Industrial AI Camera (Raspberry CM4 1GB RAM 8GB eMMC is included and pre-installed)

• ED-AIC2000 Datasheet (EN)
• AIC2000 SDK Development Guide