https://github.com/akash-peace/iot-pi-dl
Theft detector project objective is to track the surveillance area and alert the user if any movement is detected.
https://github.com/akash-peace/iot-pi-dl
call camera deep-neural-networks firebase http-server iot mms opencv python3 raspberry-pi theft-detector twilio yolo
Last synced: 3 months ago
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Theft detector project objective is to track the surveillance area and alert the user if any movement is detected.
- Host: GitHub
- URL: https://github.com/akash-peace/iot-pi-dl
- Owner: Akash-Peace
- License: mit
- Created: 2021-02-28T16:21:11.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-19T06:13:34.000Z (about 3 years ago)
- Last Synced: 2023-08-20T20:34:04.889Z (over 1 year ago)
- Topics: call, camera, deep-neural-networks, firebase, http-server, iot, mms, opencv, python3, raspberry-pi, theft-detector, twilio, yolo
- Language: Python
- Homepage: https://github.com/Akash-Peace/IOT-PI-DL/tree/main/Documentations
- Size: 5.04 MB
- Stars: 8
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
THEFT DETECTOR
IoT
.
Raspberry Pi
View Documentations
·
Report Bug
·
Request Feature
Table of Contents
- About The Project
- Built With
- Powered By
- Requirements
- Installation
- Usage
- Screenshots
- License
- My Raspberry Pi Spec
- My System Spec
- Contact
## About The Project
Theft detector project objective is to track the surveillance area and alert the user if any movement is detected. The alerting system includes MMS and calling the user done with [twilio](https://www.twilio.com/). User can update multiple numbers to receive mms and call. Movement detection and image processing are done with [OpenCV](https://opencv.org/). Object detection is one of the main features that detect what object is in the image done with [yolo](https://pjreddie.com/darknet/yolo/) deep learning model. Http server used to transfer images. Suspected scenes are captured in image format and store the image locally and in the cloud by [firebase](https://firebase.google.com/), accessed globally. [MIT](https://github.com/Akash-Peace/INDUSTRIAL-WEBSITE/blob/main/LICENSE) licenses this project. If you like this project, give a _star_ and follow me.
## Built With
* [Python](https://www.python.org/)
## Powered By
* [OpenCV](https://opencv.org/)
* [Firebase](https://firebase.google.com/)
* [Twilio](https://www.twilio.com/)
* [Yolo](https://pjreddie.com/darknet/yolo/)
## Requirements
**Device:** RaspberryPi & Laptop/PC\
**OS:** Windows/Linux/Mac\
**Network:** 3G or Above 3G
## Installation
Step 1: Download [Sender_Camera.py](https://github.com/Akash-Peace/IOT-PI-DL/blob/main/Program%20for%20individual%20system%20and%20camera/Theft_Detector_Sender(Camera).py) file in system and [Receiver_System.py](https://github.com/Akash-Peace/IOT-PI-DL/blob/main/Program%20for%20individual%20system%20and%20camera/Theft_Detector_Receiver(System).py) file in raspberry pi.\
Step 2: Activate [http server](https://github.com/Akash-Peace/IOT-PI-DL/blob/main/Documentations/terminal.txt) through system terminal.\
Step 3: Run Receiver_System.py and then Sender_Camera.py.
## Usage
Usage of this project is to track the theft under the surveillance area and alert the user through call and mms. User can update multiple numbers to receive mms and call. Suspected scenes are captured in image format and stored securely in firebase, So you can access globally.
## Screenshots
View [Screenshots](https://github.com/Akash-Peace/IOT-PI-DL/tree/main/Screenshots) here.
## License
Distributed under the MIT License. See [LICENSE](https://github.com/Akash-Peace/IOT-PI-DL/blob/main/LICENSE) for more information.
## My Raspberry Pi Spec
**OS:** [Raspbian](https://www.raspberrypi.org/software/operating-systems/)\
**Model:** Raspberry Pi Zero WH\
**Ram:** 512mb\
**Disk:** SD 32gb
## My System Spec
**OS:** [Garuda](https://garudalinux.org/)\
**Model:** Acer Aspire 5 A515-51G\
**Processor:** Intel i5 7th gen\
**Ram:** DDR4 8gb\
**Disk:** HDD 100gb
## Contact
Akash.A,\
Computer Science Engineer,\
[email protected],\
8608550403,\
Chennai.
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