The system can track multiple drones simultaneously
Drones flight path are tracked in real time and logged in a database for analytics
Using distributed sensors makes the system robust and modular
Entirely passive drone detection system using acoustic and vision
Uses Neural Networks to minimize false alarms
We apply cutting-edge AI techniques to fuse sensor data and enhance system performance and robustness.
Our team specialize in the design of neural network architectures , training and deployment on our proprietary hardware
Our team is skilled in handling the raw data from various sensors and optimizing their performance
Our team uses state-of-the-art simulation and characterization tools to generate data for training our neural networks
Illicit packages can be thrown over fence or delivered by drones
Drones can invade personal and professional spaces, compromising privacy and security
Commercial drones can be weaponized
Founded in 2018, DARIT Technologies is a R&D spinoff from the Université de Sherbrooke (UdeS), developing surveillance equipment based on a unique acoustic detection technology that can be combined with other sensing modalities such as cameras and lidar for advanced detection and recognition using artificial intelligence techniques. It exploits artificial audition, artificial vision and artificial intelligence technologies. The company is supported by UdeS’ ACET (Technology Business Accelerator, UdeS).
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