Kutluhan Aktar / AI-driven BLE Travel Emergency Assistant Public

AI-driven BLE Travel Emergency Assistant

Object detection
3D printing BLE assistive device XIAO ESP32S3 Android web WhatsApp SMS Twilio

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.

home_8.jpg

Fine_4
Call_6
Call_3
Stolen_11
Stolen_9
Stolen_8
Stolen_3
Assist_7

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Dataset summary

Data collected
75 items
Labels
assist, call, danger, fine, stolen

Project info

Project ID 298397
Project version 2
License Apache 2.0
No. of views 9,113
No. of clones 0