MagikEye Developer Kit enables 120 fps 3D sensing on Raspberry Pi

MagikEye ILT001 developer kit (DK-ILT001) is a low-latency 3D sensing kit that connects to the Raspberry Pi’s MIPI CSI camera connector and features the company’s Invertible Light Technology (ILT) module with an infrared laser and a CMOS image sensor.

The company says a “unique algorithm” developed in-house can generate 3D point cloud datasets acquired at high speeds (up to 120 fps) and with very low latency using simple hardware configuration. The kit targets researchers, students, and hobbyists working on machine vision, robotics, automated carriers, and other projects that can benefit from low-latency 3D sensing.

MagikEye DK-ILT001 kit key features and specifications

  • 850nm infrared light laser
  • CMOS image sensor
  • Range up to 1.5 meters (15 to 80 cm recommended)
  • Compatibility – Raspberry Pi Zero W/3B/3B+/4
  • Power Supply – 3.3V (via MIPI Interface on Raspberry Pi)
  • Power Consumption – 0.6W (average)
  • Dimensions – 44 x 24 x 16 mm (within enclosure)
  • Weight – 16 grams
  • Laser Classification – Eye Safety (IEC-60825) Class 1

The kit can be controlled through a custom API, and the company’s MkE SDK to implement this API in C++ and Python and can be found on Github. But developers can also use OpenCV, PCL, Open3D, ROS, and Unity. Software documentation can be found on MagikEye’s support website.

MagikEye says that the kit can achieve 3D imaging at more than 120fps when connected to the Raspberry Pi,  but when connected to more powerful hosts the rate goes up to 600fps. While we’ve covered other 3D sensing kits for Raspberry Pi, MagikEye DK-ILT001 is more versatile and enables all sorts of cool applications as demonstrated in the video embedded below.

MagikEye development kit will soon be available for pre-order for $99 on Switch Science website with 5,000 units planned. For more details, you may check out the press release (in Japanese) that has some extra information missing from the product page.

3D point cloud made with MagikEye devkit

Via LinuxGizmos

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