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If machines could recognise objects the way human beings do, it would be quite interesting. Object detection is a trending topic nowadays. So let us make an object detection camera that can do live classification of objects and people, and every activity is displayed live on web using an IP address.
| Bill of material | |
| 1 | Raspberry Pi 3 B-1 |
| 2 | USB camera/Raspberry Pi camera-1 |
| 3 | Keyboard-1 |
| 4 | Monitor-1 |
| 5 | Mouse-1 |
| 6 | SD Adaptor (32GB) |
| 7 | HDMI to VGA cable |
| 8 | 5V power adaptor with USB Type-C connector |
| 9 | SD card reader |
We will use Edge Impulse to train an ML model and integrate it with a computing machine (Raspberry Pi) and acquire live video and images through camera interfacing. The project will be able to work with the internet and without the intranet. Using the internet, we can use the project for activities like:
- Live door monitoring to alert when an unknown person enters
- In industry to do object classification and separation using robotic arms
- Counting of fruits on a tree or in a separator
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