Cross-platform Face Recognition Mobile App
Budget: $1,500 – $3,000 USD
I'm in need of a mobile application that is able to detect live face recognition in real-time, preventing acceptance of photos or videos. The app should also be able to match the detected face with a reference photo, which I will provide.
Key Requirements:
- Face Detection: The primary function of the app is face recognition. It should be able to detect faces in a live setting.
- Anti-spoofing: The app should be able to distinguish between a live face and a photo or video.
- Face Matching: The application should be able to compare the detected face with a reference photo, and provide a match.
Your responsibilities will include:
- Developing the mobile application for both iOS and Android platforms.
- Integrating the necessary software components for live face detection.
- Building the anti-spoofing measures to ensure the app is secure.
- Implementing the face matching algorithm with the provided reference photo.
Ideal Skills:
- Proficient in both iOS and Android app development.
- Experience with bio-metric systems or face recognition technology.
- Knowledge of anti-spoofing measures.
- Skilled in image processing and pattern recognition.
- Prior experience with security authentication systems would be beneficial.
Please respond with your relevant experience and a proposed approach to developing this application.
Key Requirements:
- Face Detection: The primary function of the app is face recognition. It should be able to detect faces in a live setting.
- Anti-spoofing: The app should be able to distinguish between a live face and a photo or video.
- Face Matching: The application should be able to compare the detected face with a reference photo, and provide a match.
Your responsibilities will include:
- Developing the mobile application for both iOS and Android platforms.
- Integrating the necessary software components for live face detection.
- Building the anti-spoofing measures to ensure the app is secure.
- Implementing the face matching algorithm with the provided reference photo.
Ideal Skills:
- Proficient in both iOS and Android app development.
- Experience with bio-metric systems or face recognition technology.
- Knowledge of anti-spoofing measures.
- Skilled in image processing and pattern recognition.
- Prior experience with security authentication systems would be beneficial.
Please respond with your relevant experience and a proposed approach to developing this application.