A deep learning model that helps visually impaired individuals navigate their surroundings effortlessly.
- Real-time object detection – Uses trained AI models to provide real-time feedback.
- Face Recognition – Detects and identifies faces for enhanced interaction.
- Navigation Assistance – Helps users safely move through environments.
git clone https://github.com/saidinesh49/Vision-Guide.git
cd Vision-Guide
python temp-mini-project.py
- Adding a New Face to the Model – After running the script, a popup window will appear where you can add a face for recognition. Use a webcam or other camera utilities to capture your face. Before doing so, you must provide details so the model can associate your face with a name—this data is stored in a SQLite server for future recognition.
- Environment Detection – Recognizes surrounding objects while also running facial recognition mode. If trained faces exist in the model, it will detect and identify them.
- Navigation Assistance – Utilizes object detection to maintain a clear pathway and uses facial recognition to enhance guidance.