Percepto, a provider of on-site autonomous drone solutions, today revealed that it has participated in an operational experimentation program with the Department of Homeland Security (DHS) and the Science and Technology Directorate in collaboration with the U.S. Army.
Percepto was invited to participate in the program to evaluate the ability of autonomous drones to perform intelligence, surveillance and reconnaissance operations and to confirm the presence of adversary assets. The event held at Quantico, VA, in March 2019, enabled more than 100 participants from the DHS, Department of Defense, Department of Energy, academia and the private sector to experience the Percepto Solution alongside 25 other technologies, in an urban warfare test scenario.
CEO of Percepto, Dor Abuhasira states: “Percepto was honored to be invited to participate in this operational experimentation program. We embrace every opportunity to challenge our solution in the toughest environments anywhere in the world, and to showcase the wide range of applications that autonomous drones can be utilized.”
The Percepto Solution is currently in use around the world including a number of Fortune 500 organizations. It is ideally suited to any large-scale enterprises looking to improve security, increase productivity and reduce safety risks and operational costs.
Percepto is the market leader of on-site autonomous drone solutions for critical facilities and industrial sites. Percepto’s autonomous drones change the way aerial data is collected and perceived. Without the need for a pilot, Percepto’s autonomous drones perform multi missions, around the clock, including; scheduled or ad-hoc patrols, inspection, measurement, mapping, detection and tracking. Organizations using the Percepto solution are better aware of events taking place, allowing them to be proactive and more efficient in addressing risks and operational needs. Using Percepto’s solution, these organizations reap the benefits of increased productivity and enhanced security, while reducing operational costs.
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