Master Your Airspace: Detection and Avoidance of Drones for Optimal Safety
Complete ecosystem including a UTM
(Unmanned aircraft system Traffic Management).
DAA
DAA systems use sensors to detect obstacles and avoid collisions for drones. They can be integrated or used in conjunction with other systems for BVLOS operations.
Essential for the safe and efficient use of drones in various commercial and industrial applications, they offer increased safety, unrivaled precision and optimal reliability for all critical missions, ensuring exceptional performance even in complex environments.
DAA type
UTM Canada's DAA ecosystem uses sensing technologies to ensure the safety of drone flights.
UTM Canada offers premium surveillance for BVLOS drone operations using detection techniques such as ADS-B, MLAT and FLARM with a notification system and MDSR (Multi Data Source Radar) system to ensure flight safety.
UTM Canada uses multi-site and frequency RF sensing to accurately determine the position of aircraft, using receivers at multiple sites and different frequencies to identify aircraft. This makes it possible to detect conflicts with other aircraft and ensure the safety of BVLOS drone flights.
UTM Canada uses primary radars for obstacle detection and avoidance for drone BVLOS operations, in combination with other technologies to ensure flight safety.
UTM Canada uses primary radars for obstacle detection and avoidance for drone BVLOS operations, in combination with other technologies to ensure flight safety.
UTM Canada uses visual detection to ensure the safety of drone flights by using cameras to detect aircraft and obstacles, using trained operators and alerts for potential conflicts.
UTM Canada uses visual detection to ensure the safety of drone flights by using cameras to detect aircraft and obstacles, using trained operators and alerts for potential conflicts.
ADS-B and secondary radar
Our notification system and MDSR (Multi Data Source Radar) detect air conflicts using sources such as ADS-B, MLAT and FLARM.
ADS-B transmits flight information in real time, MLAT uses multi-site receivers to determine aircraft position, and FLARM detects collisions for light aircraft. By combining these technologies, our system ensures accurate conflict detection and provides real-time information to drone operators, ensuring flight safety. We offer comprehensive coverage in Canada and continue to expand our service to meet the growing needs of the drone industry.
Primary radar
Our notification system and MDSR (Multi Data Source Radar) detect air conflicts using sources such as ADS-B, MLAT and FLARM.
ADS-B transmits flight information in real time, MLAT uses multi-site receivers to determine aircraft position, and FLARM detects collisions for light aircraft. By combining these technologies, our system ensures accurate conflict detection and provides real-time information to drone operators, ensuring flight safety. We offer comprehensive coverage in Canada and continue to expand our service to meet the growing needs of the drone industry.
Visual detection
UTM Canada ensures the safety of drone flights using visual aircraft detection.
Strategically installed cameras capture images of the airspace, transmitted to our DAA monitoring center for analysis. Our trained operators use automated detection software and visualization tools to identify aircraft and obstacles and track their movements. In the event of a potential conflict, alerts are sent to drone operators to avoid collisions.
Visual detection effectively complements radar and RF detection technologies, allowing aircraft and obstacles to be detected even in reduced visibility, such as in fog or at night, and is particularly useful for low-altitude operations.
RF detection
UTM Canada uses multi-site and frequency RF detection to ensure drone flight safety.
Receivers strategically deployed across the country pick up radio signals from aircraft and transmit the data to our DAA monitoring center. Using advanced algorithms, we determine the position of aircraft with high precision, even without a transponder or with weak signals.
This technique also allows aircraft to be identified at different frequencies, thus distinguishing aircraft from other flying objects. Combined with other detection technologies, this method provides comprehensive coverage for BVLOS operations.
Audio detection
UTM Canada uses audio detection for obstacle detection and avoidance (DAA) in drone operations.
Strategically placed microphones pick up noise from aircraft and obstacles, transmitting the signals to our monitoring center for analysis. Our trained operators use automated software and visualization tools to identify potential conflicts and send real-time alerts to drone operators. Audio detection complements radar, RF and visual technologies, allowing aircraft to be detected even in reduced visibility or without a transponder, ensuring complete coverage and increased safety for BVLOS drone operations.
Drone detection
UTM Canada uses a combination of detection technologies, such as radar, RF, visual and audio detection, to monitor drones in the airspace.
Remote ID transmits information on the identity and location of drones via a wireless link, including their registration number, position, altitude and speed. By combining this data, UTM Canada can identify potential conflicts and provide real-time information to drone operators, ensuring safe and efficient operations. This approach improves flight safety, facilitates the integration of drones into airspace and helps regulatory authorities in decision-making and enforcement of safety rules.
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