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Système radar

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.. 

OUR ECOSYSTEMS

List of our systems

HC-N4's DAA ecosystem uses sensing technologies to ensure drone flight safety.

UTM Canada provides superior surveillance for BVLOS drone operations using detection techniques such as ADS-B, MLAT and FLARM with notification system and MDSR (Multi Data Source Radar) system for 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 sensing to ensure drone flight safety by using cameras to detect aircraft and obstacles, using trained operators and alerts for potential conflicts.

UTM Canada uses visual sensing to ensure drone flight safety by using cameras to detect aircraft and obstacles, using trained operators and alerts for potential conflicts.

ADS-B
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ADS-B AND SECONDARY RADAR

Our notification system and our systemMDSR(Multi Data Source Radar) detect conflicts with other aircraft using different data sources such as ADS-B, MLAT and FLARM.

 

ADS-B(Automatic Dependent Surveillance-Broadcast) is a surveillance system that allows aircraft to transmit information such as their position, speed and altitude to other aircraft and to air traffic controllers.

 

The MLAT(Multilateration) uses receivers at multiple sites to determine an aircraft's position using the difference in arrival time of radio signals.

 

FLARM(FLight ALert and Reporting System) is a collision detection system for light aircraft that uses onboard receivers to detect other FLARM-equipped aircraft in the vicinity.

By combining these different detection technologies, our system is able to detect conflicts with other aircraft and provide real-time information to drone operators to ensure flight safety. We are convinced that our DAA system is the best choice to ensure drone flight safety in a rapidly changing aviation environment.

We are proud to cover the entire country (Canada) in ADS-B coverage and secondary radar by MLAT, and continue to expand our coverage to meet the growing needs of the drone industry. We believe our DAA system is a superior choice for BVLOS drone operations and are confident that it can help our customers achieve their business goals while ensuring flight safety.

Radar
Système radar
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PRIMARY RADAR

Primary radars are airspace surveillance systems used to detect aircraft and obstacles, and to monitor aircraft movements.

 

They are used by air traffic controllers to monitor aircraft and helicopter movements, as well as to avoid collisions. Primary radars use radio waves to detect moving objects in airspace, and can be used to detect aircraft at ranges up to 200 nautical miles.

At UTM Canada, we use primary radars to provide DAA (Obstacle Detection and Avoidance) services for BVLOS (Beyond Visual Line of Sight) drone operations.

 

By using primary radars, we can detect aircraft and obstacles in the airspace, and provide real-time information to drone operators to ensure flight safety. By combining primary radars with other detection technologies, such as ADS-B, MLAT and FLARM, we can provide comprehensive coverage

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VISUAL DETECTION

UTM Canada uses aircraft visual detection to ensure drone flight safety. Visual detection is a technique that uses cameras to detect aircraft and obstacles in the airspace.

 

The cameras are installed at strategic locations to provide an unobstructed view of the monitored airspace. The images captured by the cameras are then transmitted to our DAA monitoring center (detection and avoidance of obstacles) for analysis.

Our trained surveillance operators use automated detection software to detect aircraft and obstacles in the images captured by the cameras. They also use visualization tools to track aircraft movements and to identify potential conflicts with drone operations. In the event of a potential conflict, our operators can immediately send alerts to drone operators to inform them of the situation and allow them to take appropriate action to avoid a collision.

 

Visual detection is an effective complement to other detection technologies, such as radar detection and RF detection, to ensure drone flight safety. This technique makes it possible to detect aircraft and obstacles even in conditions of reduced visibility, such as in fog or at night. It is also very useful for low altitude operations where visibility is necessary to avoid collisions with obstacles on the ground.

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Dectecton visuelle
Radio Telescope Antenna
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RF DETECTION

UTM Canada uses multi-site and frequency RF sensing to determine the position of aircraft in the airspace. Multi-site RF sensing is a technique that uses receivers at multiple sites to determine the position of an aircraft using the difference in arrival time of radio signals transmitted by the aircraft. Using this technique, we can determine the position of an aircraft with high accuracy, even if the aircraft is not equipped with a transponder or the signal is too weak to be detected by a single receiver.

To utilize multi-site RF sensing, UTM Canada deploys receivers at multiple strategic locations across the country. These receivers pick up radio signals from aircraft in the airspace and send the data to our DAA monitoring center. By using advanced data processing algorithms, we can determine the position of the aircraft with high accuracy.

 

By using this technique, we can detect aircraft at greater distances and in harsh weather conditions compared to other detection technologies.

By using multi-site and frequency RF detection, we can also use the different frequencies of radio signals to identify aircraft. This helps distinguish aircraft from other flying objects like birds and balloons. This technology is particularly useful for BVLOS (Beyond Visual Line of Sight) operations where direct visibility of the aircraft is limited.

By using this multi-site and frequency detection technique in combination with other detection technologies, UTM Canada provides complete coverage for BVLOS drone operations. This allows us to detect conflicts with other aircraft and ensure the safety of drone flights.

Detection RF
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AUDIO DETECTION

UTM Canada also uses Audio for Obstacle Detection and Avoidance (DAA) for drone operations. Audio detection is a technique that uses microphones to detect noise emitted by aircraft and obstacles in the airspace. Microphones are installed at strategic locations to provide audio coverage of the monitored airspace.

 

The audio signals captured by the microphones are then transmitted to our DAA monitoring center for analysis.

Our trained surveillance operators use automated detection software to detect noise emitted by aircraft and obstacles in the audio signals picked up by the microphones. They also use visualization tools to track aircraft movements and to identify potential conflicts with drone operations.

 

In the event of a potential conflict, our operators can immediately send alerts to drone operators to inform them of the situation and allow them to take appropriate action to avoid a collision.

 

Audio detection is an effective complement to other detection technologies, such as radar detection, RF detection, and visual detection to ensure drone flight safety. This technique makes it possible to detect aircraft and obstacles even in conditions of reduced visibility, such as in fog or at night. It is also very useful for low altitude operations where visibility is necessary to avoid collisions with obstacles on the ground.

It can also detect aircraft which are not equipped with a transponder or which are not visible, such as aircraft in flight at very low altitude or silent aircraft.

By using audio detection in combination with the other detection technologies, UTM Canada provides complete coverage for BVLOS (Beyond Visual Line of Sight) drone operations.

 

This can detect conflicts with other aircraft and ensure the safety of drone flights. By using multiple sensing techniques, we can provide real-time information to drone operators to ensure flight safety and to enable efficient and reliable drone operations.

Les ondes sonores
Detection audio
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DRONE DETECTION

Using a combination of detection technologies, such as radar detection, RF detection, visual detection and audio detection, UTM Canada is able to detect drones in the airspace. However, for effective monitoring of drone flights, it is important to also have information about the identity and location of the drones.

This is where Remote ID comes in. Remote ID is a technology that allows information about the identity and location of a drone to be transmitted remotely, usually over a wireless link. . Using this technology, UTM Canada can receive information about the identity and location of drones in the airspace, including their registration number, position, altitude and speed.

By combining the information obtained through remote sensing and identification, we can better understand drone movements in the airspace and identify potential conflicts with other aircraft. This allows us to provide real-time information to drone operators to ensure flight safety and enable efficient and reliable drone operations.

In summary, the combination of drone detection and remote identification (Remote ID) allows UTM Canada to effectively monitor drone flights in the airspace and gEnsuring flight safety using real-time information on the identity and location of drones.

 

It also helps provide detailed information to regulatory authorities to help with decision-making and enforcement of safety rules for drone flights. Finally, it facilitates the integration of drones into the airspace by increasing the transparency of drone operations and reducing the risks for other airspace users.

Detection drones
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