Making traffic lights more efficient with Amazon Rekognition
Machine Learning Blog
This article discusses how Amazon Rekognition, an AI technology, can be used to mitigate traffic congestion at intersections and reduce operational costs for local agencies.
Specifically, the article covers:
- Overview of the solution that uses Amazon Rekognition to detect objects, create bounding boxes, and calculate distances between vehicles at intersections
- Prerequisites for running the solution in a personal AWS environment
- Architecture of the solution involving services like Amazon SageMaker, Amazon Rekognition, and IAM
- Walkthrough of configuring permissions and running the solution in SageMaker
- Code explanation of using OpenCV, Boto3, and Rekognition for video analysis
- Cost estimates for implementing the solution at $6,000 per intersection annually
- Conclusion highlighting the benefits of using Amazon Rekognition for traffic management
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