Sara Analytics

Face Recognition | Detection App Development

Face Detection is a technology of recognizing person’s face by their facial snapshot using an application or software system. In the world of technology, a wide range of facial detection software systems is working to facilitate industries, organizations and individual clients with a superior security system. Since from over a decade, technology has broken all the records in inventing amazing software systems and machines. The technical expertise to protect the privacy and manage the integrity of the system is also raising its standards. To prevent fake operations and unauthorized access, the clients prefer face detection technology for approving the access. Facial detection software systems are used for fulfilling a wide range of actions such as establishing lock/unlock security, protecting restricted service area, and also be used in mobile devices to protect their unwanted access in a highly secured and technologically smart approach.

Facial recognition technology works on the face perception principle, in this, the system identifies and intercepts the face with the one that is already stored in the database. If both matches, it results in the face identification success. In the current era, most of the agencies, organizations, and industries are moving forward to implement the face detection technology in their organization to increase the security, privacy, and accuracy. Sara Analytics is one of the most reputed IT firms that has established its excellence in facial recognition app and software development, and since from the year 2010, we have catered over 65 clients all across the globe with their custom needs after fulfilling all the basic to advanced functional and operational requirements.

Face Detection Software
Crazy Features
Future technology dominant face identification solutions to enhance security paradigms

Robust Technology

We facilitate highly competent and consistent facial recognition solutions to enhance security system by eliminating fake and unauthorized access.

Accurate Authentication

The technologically smart system captures apparent images and detect faces at amazing detection rate and reverts highly authentic results to assist in face identification.

Smart & Fast Execution

The command execution time is very quick and scans the face within a second. Delivers swift, intelligent, and highly authoritative scan results extraordinarily.

Unlimited Face Detection

There is no limit for detecting faces, and huge storage space is provided to store all the scanned images and can be accessed whenever required.

MULTI-ANGLE FACE SCANNING

A wide range of angles and key spots are analyzed while processing a face detection and supports a wide range of changes in facial expressions and poses with high accuracy.

SUPERIOR FACE RECOGNITION

Excellent face recognition capacity that enables to scan the sample face even in a crowded places intelligently, smartly and bug freely.

We Owns the Expertise In
Clients can feel free to ask us for expert assistance in their custom solution development
Face Detection System Development

Face Detection System Development

Our face detection software system produces superior, authentic, and highly reliable results after deeply scanning the facial images from all the available scenarios.
Face Identification System Development

Face Identification System Development

To protect unauthorized access, we have developed a technologically advanced face identification software system that promotes the lock/ unlock feature through facial identification.

Facial Recognition System Development

Initially, a template of a face with all its possible angles that is being stored in the database and this template is matched with the new face sample before processing request towards identification approval or rejection.
How It Works

Complete process-cycle of the face detection software

Face Recognition App

Capture

Initially an image sample is captured by the system and has been stored in its database for all future preferences.

Extraction

Distinctive information is extracted from the behavioral or physical sample and generates a template.

Comparison

At the time of facial recognition, the stored database template is compared with the new provided sample.

Matching

At the end, if both existing template configuration matches with the newly passed sample, the verification is succeeded otherwise it will be denied.

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