We work with algorithms for facial recognition and feature extraction. We integrate these into various applications for authentication
Face can be scanned by cameras the minute a person enters the door/premises. Most installations rely on security personnel manning high-megapixel digital cameras to identify uninvited guests. Biometric face recognition technology is relatively new, but it has the potential to change strategic installation surveillance forever.**Two types of facial recognition biometric screening systems : **
- Dumb Systems
- Smart Systems
Dumb systems automatically detect human faces and grab a snapshot of every person entering the premises for later use. Smart systems do that too, but also analyze the face of each guest and compare them against the images of undesirables in the database. If the system finds a match, it alerts security.There are many potential use of this technology and we have developed algorithms for facial recognition and also algorithms for various feature extractions like smile, blinking of eye, emotions etc.We integrate our algorithms into various facial recognition applications for identification, security, beauty, loyalty management,mobile, eCommerce, online advertising, social media, travel, e-payments, e-education and authentication at various levels of transactions.**Write to us for more information
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Deploying Facial Recognition Software in India: Integration, Accuracy and Privacy
Choosing facial recognition software in India is less about the camera and more about how the match result is used downstream. In practice, faces rarely work alone. Pairing a face template with an RFID or biometric credential turns a single check into layered authentication, which is why we often pair face capture with RFID access control and biometrics or a contactless palm-vein scanner as a second factor. For workforce use, the same match event can post directly into a time and attendance system or feed employee tracking software, removing manual punch-in.
Accuracy depends on enrolment quality, lighting and camera placement far more than on the algorithm alone. Off-angle mounting, backlit doorways and low-resolution feeds cause most false rejects, so we advise site-appropriate placement and controlled enrolment images. For high-security sites such as secured premises and control rooms, a real-time matching system that flags watchlist entries is worth the extra tuning. Given India’s evolving data-protection expectations, plan for consent, on-premise template storage and retention limits from day one. Tell us your environment and volumes and we will scope a workable design — talk to our team.