About the project
The objective of this project is to build a distributed application to perform real-time face recognition on real videos recorded with the help of PaaS services and Io devices. This application is developed with the help of Amazon Lambda, SQS, S3, and Raspberry Pi for the IoT. The users will be able to record a live video and with the help of the application based on the architecture mentioned below in the report, they will be able to correctly identify the correct person in front of the camera in a short span of time. In current times, IoT and edge devices are gaining popularity, so it is essential to understand the concepts required in developing a high performance, distributed system.
Project information
PaaS - Face Recognition Service on live streamed videp
Deployed AWS Lambda, SQS for a pipeline to retrieve data-records of people detected from live video stream with 93% accuracy. Configured Raspberry-Pi for live video streaming and storing/fetching academic records from DynamoDB