# soham2212004/road-accident-detection-alert-system architecture

> Architecture diagram of the GitHub repository soham2212004/road-accident-detection-alert-system, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-12). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/soham2212004/road-accident-detection-alert-system
- Repository: https://github.com/soham2212004/road-accident-detection-alert-system

## Overview

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`](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py) (Frame Monitoring), [`main.py`](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/main.py) (Application Entry), [`detection.py`](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/detection.py) (Accident Classifier), [`model.json`](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/model.json) (Model Definition)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_runtime["Monitoring Runtime"]
  node_entry["Application Entry<br/>[main.py]"]
  node_monitor["Frame Monitoring<br/>[camera.py]"]
end

subgraph group_response["Accident Response"]
  node_photo["Accident Photo<br/>[camera.py]"]
  node_alertui["Alert Prompt<br/>[camera.py]"]
  node_sound["Audio Alert<br/>[camera.py]"]
  node_ambulance["Ambulance Call<br/>[camera.py]"]
end

subgraph group_integration["Model and Service"]
  node_classifier["Accident Classifier<br/>[detection.py]"]
  node_modelconfig["Model Definition<br/>[model.json]"]
  node_twilio{{"Twilio"}}
end

node_operator(("Operator"))

node_operator -->|"starts"| node_entry
node_entry -->|"calls"| node_monitor
node_monitor -->|"predicts frames"| node_classifier
node_classifier -->|"loads definition"| node_modelconfig
node_monitor -->|"saves on detection"| node_photo
node_monitor -->|"starts prompt"| node_alertui
node_alertui -->|"plays beep"| node_sound
node_alertui -->|"calls on choice"| node_ambulance
node_ambulance -->|"requests call"| node_twilio

click node_entry "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/main.py"
click node_monitor "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py"
click node_classifier "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/detection.py"
click node_modelconfig "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/model.json"
click node_photo "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py"
click node_alertui "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py"
click node_sound "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py"
click node_ambulance "https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_entry,node_monitor toneBlue
class node_photo,node_alertui,node_sound,node_ambulance toneAmber
class node_classifier,node_modelconfig,node_twilio toneMint
class node_operator toneIndigo
```

## Components

### Monitoring Runtime

- [Application Entry](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/main.py): `main.py`
- [Frame Monitoring](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py): `camera.py`

### Accident Response

- [Accident Photo](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py): `camera.py`
- [Alert Prompt](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py): `camera.py`
- [Audio Alert](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py): `camera.py`
- [Ambulance Call](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/camera.py): `camera.py`

### Model and Service

- [Accident Classifier](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/detection.py): `detection.py`
- [Model Definition](https://github.com/soham2212004/road-accident-detection-alert-system/blob/main/model.json): `model.json`
- **Twilio**

### Other components

- **Operator**

## Connections

- Operator → Application Entry: starts (evidence: `README.md`)
- Application Entry → Frame Monitoring: calls (evidence: `main.py`)
- Frame Monitoring → Accident Classifier: predicts frames (evidence: `camera.py`)
- Accident Classifier → Model Definition: loads definition (evidence: `detection.py`)
- Frame Monitoring → Accident Photo: saves on detection (evidence: `camera.py`)
- Frame Monitoring → Alert Prompt: starts prompt (evidence: `camera.py`)
- Alert Prompt → Audio Alert: plays beep (evidence: `camera.py`)
- Alert Prompt → Ambulance Call: calls on choice (evidence: `camera.py`)
- Ambulance Call → Twilio: requests call (evidence: `camera.py`)