Raspberry Pi CM3+ based EagleEye Smart Camera Works with OpenCV and LabVIEW NI Vision

We previously covered Q-Wave Systems’ Melon S3 board combining a Xilinx Spartan 3E FPGA with ESP8266, but the Thai company is back is a completely different product: EagleEye Smart Camera.

The board is powered by Raspberry Pi Compute Module 3+ (CM3+) with 16GB or 32GB flash, and equipped with a 5 MP camera for machine vision and robotics applications.  There are two version of the board Uno and Industrial with the latter adding 24V digital input and outputs, circuit protections and support for industrial temperature range.

EagleEye smart camera key features & specifications:

• SoM – Raspberry Pi CM3+ with Broadcom BCM2837B0 quad core cortex-A53 processor, 1 GB RAM, and 16GB or 32 GB flash
• Camera – 5 MP OV5647 image sensor,  CS/M12 lens holder + 4mm CS lens
• Video Output – mini HDMI port
• Networking – 10/100M Ethernet
• USB – 1x USB 2.0 host port up to 1.2A
• Expansion
  • Uno – 4x 3.3V digital input; 4x 3.3V digital output; both via 2.5mm pitch headers
  • Industrial – 4x 24V digital inputs; 4x 24V digital outputs ; both via terminal blocks
• Misc – RTC (industrial only), watchdog
• Safety (Industrial version only) –  Over-voltage/current/polarity protection, thermal shutdown,
• Power Supply
  • Uno – 5V DC input
  • Industrial – 12V-24VDC input; switching power supply
• Temperature Range – Industrial version: -40°C – +85°C

Software development can be done in Python or C++ using the popular OpenCV open source computer vision library, or National Instruments LabVIEW Ni Vision software. You can find some libraries on their Github account, but those may not be the latest version, as for instance the repo with “examples usingOpenCV (C/C++) and NI-VISION for Raspberry Pi 3B/3B+ ” has not been updated since November 2018.

Target applications include embedded vision, indsutrial machine vision, computer vision, vision/image processing, machine learning, drones, robots, ADAS, and AGV (Automated Guided Vehicles). Here’s a demo showing the camera quickly reading a barcode from a moving object.

There are four pricing options for the kits:

• EagleEye Smart Camera Uno
  • Student – 2,990 THB ($98 US)
  • Standard – 3,990 THB ($131 US)
• EagleEye Smart Camera Industrial –  4,990 THB ($164)
• EagleEye Smart Camera Industrial Pro with rugged enclosure –  5,990 THB ($197 US)

I understand those kits include the baseboard and camera, but not Raspberry Pi CM3+ module, nor heatsink and case, except for the “Industrial Pro” version pictured below.

All kits and accessories are available on Q-wave shop, but it looks like they’ll only ship to Thailand that way. If you’re interested in getting one, you may try to contact the developer via Twitter.

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