Rodent behavior and eye-movement AI system

Client project: project fee $30,000, development time 2 months. For research use: a small camera device built around a K230 edge-AI chip that tracks several animals at once, labels behaviors such as walking and resting, and sends the results to a monitoring app, with no PC doing the vision work. A second part of the project built the fixation apparatus and the camera pipeline for eye-movement analysis.

  • Client type: Research client (not named)
  • Units: Working prototype (count not published)
  • Project fee: $30,000
  • Development time: 2 months
  • Stage: Client project, completed
Small white 3D-printed camera box with a black antenna, mounted on the bars of an animal cage
The edge-AI camera on a cage

Overview and tech stack

Project type
Small devices, DIY, consumer and education electronics
Main chip
K230 edge-AI chip on a custom 4-layer PCB
Vision on the device
Multi-animal detection, identity-aware tracking, behavior recognition (walking, resting, upright)
Eye movement
Camera-based pupil tracking with a custom fixation apparatus and LED lighting
Software
Monitoring app with tracks, heatmaps, audio detection and an AI-written health report
Enclosure
Compact custom enclosure with antenna, USB and USB-C

What we built

  • Behavior data collection and an annotation pipeline
  • Behavior recognition and motion-tracking models, optimised to run on the edge chip
  • Edge inference deployment and embedded firmware
  • K230 4-layer PCB design
  • Enclosure and mechanical design
  • Eye-movement algorithm design and the fixation apparatus
  • Test setup validation and the demo monitoring interface

Project figures

Development time
2 months
Project fee
USD 30,000

Figures from the client project itself; the client is not named. A quote for your build follows a review of your files.

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