Object Detection & Analysis Made Simple using Raspberry Pi, Apache Kafka, AWS Rekognition & Docker
Imagine you are able to capture live video streams, identify objects using deep learning, and then trigger actions or notifications based on the identified objects - all using Docker containers. With Pico, you will be able to setup and run a live video capture, analysis, and alerting solution prototype.
A camera surveils a particular area, streaming video over the network to a video capture client. The client samples video frames and sends them over to AWS, where they are analyzed and stored along with metadata. If certain objects are detected in the analyzed video frames, SMS alerts are sent out. Once a person receives an SMS alert, they will likely want to know what caused it. For that, sampled video frames can be monitored with low latency using a web-based user interface.
The Pico framework uses Kafka cluster to acquire data in real-tim 701C e. Kafka is a message-based distributed publish-subscribe system, which has the advantages of high throughput and perfect fault-tolerant mechanism. The type of data source is the video that generated by the cameras attached to Raspberry Pi.
- Apache Kafka
- Docker
- Docker Swarm
- AWS Rekognition Service
- Kafka is amazingly fast.
- Quite easy to operate & simple to configure.
- Vey low memory and CPU footprint.
- Stable
- Provides you DIY capability
- Open Source
| Items | Link | Reference |
|---|---|---|
| Raspberry Pi 3 Model B | Buy | |
| Raspberry Pi Infrared IR Night Vision Surveillance Camera Module 500W Webcam | Buy | |
| 5MP Raspberry Pi 3 Camera Module W/ HBV FFC Cable | Buy |
Optional:
- Buy Heat Sink
- Buy Pi camera Tripod Stand
- Raspberry Pi 3 Model B 4-layer Dog Bone Stack Clear Case Box Enclosure
AWS Tool Required:
- AWS Rekognition Access (No Free Tier due to Kafka broker minimal requirement of t2.medium size instances)
- AWS Lambda
- AWS S3 Bucket
Stage I - Installing Docker on Raspberry Pi
Stage II - Turn Your Raspberry Pi into Night survillience Camera using Docker
Stage III - Deploy Apache Kafka on AWS Platform using Docker Swarm
Stage IV - Pushing the video frame from Raspberry Pi to Apache Kafka
Stage IV - - TBD