Face Recognition in a Reliable and Safe Way

Face recognition anywhere and in any conditions for the Dogtown Media app. Learn more about our solution.

Deep Learning
Machine Learning
Face Recognition in a Reliable and Safe Way

About Dogtown Media

Dogtown Media is a mobile media development company headquartered in Venice Beach, California. Since 2011, it has launched over 200 apps. They offer their clients design and development services to maximize AI, augmented reality, IoT, mobile commerce, geo-location, mobile app analytics, and more. 

The Challenge

Even though recent advancements in face recognition, powered by deep learning and massive datasets, have been revolutionary, there's still room for improvement. 

Occluded faces with sunglasses, hats, or even medical masks can significantly hinder traditional face recognition systems. Also, as people age, their facial features naturally change. Existing systems often struggle to recognize individuals after a significant time lapse. Night vision is also a struggle. Many face recognition apps require functionality at night or in low-light conditions. 

These challenges can significantly limit the effectiveness of face recognition technology. Our job is to make it reliable and as accurate as possible. Create a system that can tackle these challenges.

The Solution

Our team of biometrics experts tackled these challenges by building on Deep Learning advancements, using Data Fusion techniques, and putting the system through challenging scenarios. 

We pushed our boundaries with state-of-the-art deep learning algorithms for face recognition and created a robust recognition system with multiple images of the same individuals, creating a solution that could clearly identify the individual and do so in any possible condition.


True Acceptance Rate (TAR)
Exceptionally low False Acceptance Rate (FAR)
improvements in recognizing faces with occlusions, age variations, and even under nighttime conditions.
"We came with a problem, a rough idea on how to solve it, and worked out with them a technical solution. Most of our projects are R&D focused and complex on emerging tech. They augmented our team and established a very good relationship. They deliver, they put forward ideas and I like that they are willing to stand their ground for the good of the project instead of just trying to be agreeable."

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