object-brand-detection

An object detection web application that uses TensorFlow.js and COCO-SSD model to identify objects through a device's camera and match them with their corresponding brands in real-time.

Object and Brand Detection

This project is a web-based application that utilizes TensorFlow.js and the COCO-SSD model to perform real-time object detection. The app uses the device camera to identify objects and display their names along with matching brand suggestions.

Features

• Real-time object detection using the COCO-SSD model.
• Identification of objects like bottles, cell phones, and laptops.
• Mapping detected objects to corresponding brands (e.g., Coca-Cola, Apple, Dell).
• Fully responsive, works on both desktop and mobile devices.

How to Use

1. Clone or download this repository to your local machine.
2. Open index.html in a web browser.
3. Grant camera permissions when prompted.
4. Point the camera at an object, and the name of the object along with the suggested brand will be displayed.

Dependencies

• TensorFlow.js
• COCO-SSD

License

This project is licensed under the MIT License - see the LICENSE file for details.