This is a JavaScript application that uses ml5.js and p5.js libraries to detect and track objects in real-time video streams. The app utilizes COCO-SSD, a pre-trained machine learning model for object detection.
- Real-time object detection using the COCO-SSD model
- Generates a random object to detect each day
- Displays a prompt with the detected object to find
- Timer with countdown to complete the task
- Share image on social media
- Copy link to share with friends
To use the app, simply open index.html in a web browser. You will be prompted to allow camera access. After allowing access, the app will start detecting objects in real-time.
When a random object is generated, a prompt will appear at the bottom of the screen with the object to find. The user must find the object within a set amount of time to complete the task. Once the task is completed, a share button will appear to share the image on social media.
There are also dialog buttons to open additional information such as instructions, statistics, and credits.
No installation is required. Simply clone or download the repository and open index.html in a web browser.
Feel free to contribute to this project. Pull requests are welcome.