Welcome to our Raspberry Pi Imaging Device repository! This project aims to provide an intelligent imaging solution for various industries by combining a Raspberry Pi, cameras, and sensors. Our device can detect flaws, count objects, and enhance security, all while reducing human error. 🤖
In this repository, we have created a versatile imaging device using Raspberry Pi, cameras, and sensors. The primary goal is to automate tasks that typically require human intervention, thus minimizing errors and increasing efficiency.
- Clone the repository
!git clone https://github.com/ultralytics/yolov5.git - Install required dependencies
!pip install -r requirements.txt - Run the app.py
streamlit run app.py
Our imaging device offers the following key features:
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Flaw Detection: Detect defects in various products, such as tablets or pills, with high accuracy. 💊🔍
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Security: Receive alerts when someone enters prohibited areas, enhancing security. 🚨🔒
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Object Counting: Count batteries or other specific products as they pass through the camera's field of view. 🧾🔢
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Person/Object Counting: Efficiently count people or objects in a designated area. 🕴️🎒🔢
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Helmet Detection: Ensure safety compliance by detecting whether helmets are worn in certain areas. ⛑️🚧
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Smoke Detection: Enhance safety measures by detecting the presence of smoke or fire. 🚬🔥
We employ custom models for different use cases, including YOLOv5 and YOLOv8, to ensure accurate and efficient object detection.
Our imaging device has a wide range of applications across industries. Some notable examples include:
- Pharmaceutical Industry: Detecting pill defects and ensuring product quality.
- Manufacturing: Counting product-specific items on the production line.
- Security: Monitoring restricted areas and alerting for unauthorized access.
- Retail: Tracking customer traffic and product availability.
- Construction: Ensuring worker safety with helmet detection.
- Fire Safety: Early detection of smoke or fire hazards.
We welcome contributions from the open-source community. If you'd like to contribute to this project, please read our contribution guidelines.
This project is licensed under the MIT License, which means you are free to use and modify the code for your purposes.
Thank you for visiting our Raspberry Pi Imaging Device repository! We hope our project helps you in automating tasks, reducing errors, and improving efficiency in your industry. Feel free to explore, use, and contribute to make it even better! 🚀👨💻👩💻