AI-Powered Accident Detection System - GCP VertexAI & JAVA

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  Architecture

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  DataSet For Model Training

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  Trained Model

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  Deploying Model to endpoint

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  Model Testing output 1

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  Model Testing output 2

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  Model Testing output 3

Inspiration

Road accidents claim over a million lives every year and injure many more. I wanted to create a system that could detect accidents quickly from video footage, enabling faster emergency response and potentially saving lives.

What it does

The system analyzes video streams to detect accidents in near real time. Once an accident is detected, it flags the event and stores the evidence for review, enabling rapid alerting of emergency services.

How we built it

I used Google Cloud Storage to store video frames, Vertex AI custom object detection model to identify accidents, and BigQuery to store detected event data. The detection logic is written in ** Java using the Vertex AI Prediction Service client library**. OpenCV is used to extract frames from uploaded videos, and each frame is sent to the model for analysis.

Challenges we ran into

1)Training a custom model with limited, high-quality accident datasets

2)Optimizing frame extraction and processing speed

3)Ensuring high detection accuracy while minimizing false positives

4)Integrating AI predictions seamlessly into a Java-based pipeline

Accomplishments that we're proud of

1)Built a fully working accident detection pipeline from scratch

2)Successfully trained and deployed a custom accident detection model

3)Achieved reliable predictions in near real time

4)Created a scalable and reusable architecture for similar object detection use cases

What we learned

1)Building and training custom AI models on Vertex AI

2)Best practices for integrating cloud AI services with Java

3)Balancing model accuracy, performance, and cost

4)Managing asynchronous workflows for large-scale video analysis

What's next for AI-Powered Accident Detection System - GCP VertexAI & JAVA

1)ntegrating with real-time traffic cameras for live monitoring

2)Adding alert notifications via SMS or email to emergency responders

3)Expanding the model to detect other traffic violations and incidents

4)Enhancing model accuracy with more diverse datasets

Built With

• gcp
• google-cloud
• java
• makesense-webtool
• vertex-ai