Follow-me Drone

Dynamic Object


3D Navigation and
Collision Avoidance


The total addressable market (TAM) for drones is $127B according to a report issued by PriceWaterhouseCooper (PWC), with media and entertainment alone accounting for $8.8B. Drones are particularly suited for the application of deep learning and vision processing in such application as documenting extreme events. THINCI deep learning and vision processing technology built into the drone can track the progress of participants, document the event, and provide monitor-and-alert function in case of mishap—directing rescue personnel to the incident, thus saving precious rescue and recovery time.

While the entertainment segment will likely be the segment to adopt deep learning and vision processing the quickest, the other segments PWC lists—Infrastructure, agriculture, transport, security, insurance, telecommunication, and mining—represents the lion’s share of the drone TAM. “Each industry has diverse needs, and as a consequence requires different types of drone-powered solutions and various drone functionalities,” the report declares. “Some of them value flight speed and payload capacity, while others wish to concentrate on solutions delivering high-quality, real-time data in a cost-effective way.” Adding THINCI deep learning and vision processing technology will allow drone makers to create a solution that can be easily custom-tailored for each of these market needs.