How soham2212004/road-accident-detection-alert-system works
This is a desktop road-accident monitoring application. Its documented workflow is to monitor video, classify frames, and, on a high-confidence accident, save a timestamped image and prompt a person to call emergency services. The sampled code shows the application entry point, frame processing, model loading, alert UI, sound, photo saving, and Twilio call. The README also describes surveillance-camera use, but the sampled code’s video source is a placeholder; model weights and a usable alert image are not present in the tree.
Main entry points: camera.py Frame Monitoring · main.py Application Entry · detection.py Accident Classifier · model.json Model Definition
Components 10
Monitoring Runtime
- Application Entry
main.py - Frame Monitoring
camera.py
Accident Response
- Accident Photo
camera.py - Alert Prompt
camera.py - Audio Alert
camera.py - Ambulance Call
camera.py
Model and Service
- Accident Classifier
detection.py - Model Definition
model.json - Twilio
Other components
- Operator
Connections 9
- Operator → Application Entry: starts
README.md - Application Entry → Frame Monitoring: calls
main.py - Frame Monitoring → Accident Classifier: predicts frames
camera.py - Accident Classifier → Model Definition: loads definition
detection.py - Frame Monitoring → Accident Photo: saves on detection
camera.py - Frame Monitoring → Alert Prompt: starts prompt
camera.py - Alert Prompt → Audio Alert: plays beep
camera.py - Alert Prompt → Ambulance Call: calls on choice
camera.py - Ambulance Call → Twilio: requests call
camera.py