Event security app powered by facial recognition

The app notably improved event security, reduced blurry photos by 80%, achieved 90% accuracy in facial feature detection, and ensured precise landmark identification.

Client

A proprietary security solutions company with a focus on the events industry.

Objective

Enhance security and surveillance at events using powerful facial-recognition technology.

Solution

After much forethought and brainstorming as well as several trial runs, the team at Achievion developed a biometric application for face recognition solution that makes it possible to extract features from a person’s photos by means of computer vision.

Features include:

Image stabilization for improved processing result. Image stabilization minimizes the chances of blurry photos due to vibration or movements in the platform on which the camera rests.
Detection and comparison of facial features. Useful information is provided by the human face. With the biometric application, it is possible to perform fast and reliable detection and comparison of facial features using vision-based computer-human interaction.
Landmark points identification for accurate identification of landmarks within facial images; helpful in face identification and analysis of facial expression
Rotation vector calculations to obtain a single coefficient vector for all frames

Results

The Event Security App, powered by facial recognition, not only elevated security measures at events but also introduced advanced features for accurate and efficient facial analysis. This case exemplifies the transformative impact of facial recognition technology in enhancing event security.

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