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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 BLE Travel Emergency Assistant
About this project
This object detection (FOMO) model detects customized keychains (tokens) representing different emergencies:
- Fine
- Danger
- Assist
- Stolen
- Call
After building my object detection model, I deployed my model as a fully optimized and customizable Arduino library and uploaded it to XIAO ESP32S3. Also, I developed an Android application from scratch to obtain the model detection results via BLE and transfer them to a web application in order to inform emergency contacts of the detected emergency class over WhatsApp and SMS via Twilio.
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Dataset summary
Data collected
75 itemsLabels
assist, call, danger, fine, stolenProject info
Project ID | 298397 |
Project version | 2 |
License | Apache 2.0 |
No. of views | 9,113 |
No. of clones | 0 |