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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
AI-driven Interactive Lab Assistant
About this project
This object detection (FOMO) model detects diverse lab equipment with the applied OpenCV modification feature:
- spoon_spatula
- forcep
- dynamometer
- bunsen_burner
- alcohol_burner
- test_tube
- skeleton_model
- microscope
- hatchery
- microscope_slide
After building my object detection model, I deployed my model as a fully optimized and customizable Linux (AARCH64) application (.eim) and uploaded it to NVIDIA® Jetson Nano. Also, I developed a user interface (Tkinter) from scratch to generate ChatGPT-powered lessons about the detected lab equipment.
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Dataset summary
Data collected
244 itemsLabels
alcohol_burner, bunsen_burner, dynamometer, forcep, hatchery and 5 othersProject info
Project ID | 323065 |
Project version | 2 |
License | Apache 2.0 |
No. of views | 17,735 |
No. of clones | 2 |