Machine perception beyond the field of view
AI-powered radar sensors that detect and recognize objects through occlusions
Unlocking the next frontier of computer vision
The ability to detect and recognize objects through occlusions, irrespective of lighting condition and at greater distances are fundamental advantages offered by mmWave radar-based sensing and perception.
Qlairvoyance is developing deep mmWave imaging and AI-powered perception capabilities to enable robust, cost-effective and scalable detection and recognition of concealed objects at distance.
Use Cases
Physical Security
Enhance surveillance cameras with the ability to detect concealed threats (knives, firearms, etc.) at distance
Emergency Services
Detect people through smoke, fog or behind walls in emergency situations
Non-intrusive monitoring
Non-intrusive health monitoring and activity classification of patients or vulnerable individuals at home.
Team
Faris Alqadah
Founder and CEO
Serial Entrepreneur (QM Scientific exit)
PhD Machine Learning, ex-PayPal, Johns Hopkins
Hatim Alqadah
Founder and CTO
Serial Entrepreneur (QM Scientific exit)
PhD Remote Sensing, Naval Research Lab, Toyon
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