Explore the results we’ve achieved for our client in face detection and recognition.
The integration of real-time face and person detection with deep learning significantly enhanced the robot’s ability to identify and respond to threats, improving overall security
The project’s successful software development and positive reception at a tech conference opened doors for further investment and project growth
The client is a company specializing in AI implementation, particularly in developing autonomous robotics that secure and protect both premises and employees. Since 2015, they have been advancing the future of security through Artificial Intelligence.
The client set an ambitious goal: to secure business premises and spaces from potential burglaries. They aimed to create an autonomous robot capable of monitoring facilities and transmitting danger signals in case of any threats. While they had already developed the hardware — the robot — they needed software to identify, process, and recognize individuals.
The required software relies on deep learning for quick and accurate identification of individuals. In essence, we needed to convert raw data into actionable commands for person detection and spatial awareness, including gate detection.
We began by collecting a dataset of images to train the algorithm. This was followed by data normalization to ensure consistent face recognition under various conditions. The process then moved to feature extraction and identification.
A similar approach was used for person detection. We collected and identified images, isolating human figures from the background while accounting for human sizes, boundaries, and other relevant features.
To enable the robot to patrol and navigate premises effectively, we developed functionality for detecting and classifying different types of objects and spaces, including gates.
After completing the software development, our team showcased the project at a major tech conference, where it received significant positive feedback. The presentation also attracted interest from potential investors, providing opportunities to further grow the project.
AI Startup
France
OpenCV, TensorFlow, PyTorch, Scikit-image, AWS
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