ML & CV ID Recognition Development for Android platform and / or IOS
Budget: $250 – $750 AUD
I'm in need of an experienced developer who has a background in identification recognition, specifically using Machine Learning and Computer Vision techniques. The primary goal of this project is to create a robust system that can effectively:
- Verify the authenticity of driver's licenses by analyzing images.
- Conduct 3D face recognition, comparing and matching with a stored database.
- Extract text from identification documents, specifically focusing on driver's licenses (OCR & Face recognition match to face and scan PDF417) and Passports (MRZ & PDF417) .
The system should be compatible with both Android OS phones and dedicated Android 7 or newer devices. If experienced in smartphone apps, IOS app may also be required.
Experience in this area is crucial, so only those who have proven track records in ID recognition systems using ML and CV should apply. Prefer experience and have completed a similar project that you can demonstrate, it would be a huge plus.
- Verify the authenticity of driver's licenses by analyzing images.
- Conduct 3D face recognition, comparing and matching with a stored database.
- Extract text from identification documents, specifically focusing on driver's licenses (OCR & Face recognition match to face and scan PDF417) and Passports (MRZ & PDF417) .
The system should be compatible with both Android OS phones and dedicated Android 7 or newer devices. If experienced in smartphone apps, IOS app may also be required.
Experience in this area is crucial, so only those who have proven track records in ID recognition systems using ML and CV should apply. Prefer experience and have completed a similar project that you can demonstrate, it would be a huge plus.
Related categories:
Machine Learning (ML)
Face Recognition
Computer Vision
3D Scanning
Text Recognition