Development of face detection library

We need a Developer who can program for us a library to detect different metrics out of a live video stream. Application must be fast and reliable. Most important are Gender, Age, Mood and if possible Attentionspan. Additional features are following incl. description. Please state what you could do and what the price of this is. ____________________ Other features should include. Please detail on the solution. Tracking people Track people passing by and retrieve information on their attention span or returning behavior. Track also multiple-people at once. Emotion Recognition Retrieve six facial expressions of multiple people simultaneously, like happiness, sadness, disgust, surprise, fear and anger. Age and Gender Estimation You will be able to know which gender group your audience belongs to and to accurately estimate their age category. Real Time Results Process webcam streams in real-time. Plattform Android ID recognition Use the ID detector to recognize returning customers within a small time window, or learn and store a model of a user for further usage. Head Pose Estimation To find out what the person is paying attention to, what attracts on the displayed content and what he ignores. Mood Detection Understand mood. The Mood detection should distinguish between neutral and happy moods. Clothing colors If possible it should also detect the cloths and colours/style. Ethnicity Identify the most probable ethnicity group of the detected faces (African, Asian, Caucasian or Hispanic).