UVeye, a NYC-based computer vision and machine learning company that specializes in building automatic vehicle inspection systems, raised $4.5m in seed funding.
The backers were not disclosed.
The company will use the funds to launch its vehicle inspection solution.
Led by Amir Hever – CEO, Ohad Hever – COO, Tal Yaari – CTO, and David Oren – VP Business Development, UVeye is a computer vision and machine learning company that specializes in the design and building of camera inspection systems for vehicles. Its flagship product, a under-vehicle inspection device, uses hi-res cameras and computer algorithms to scan and automatically detect, identify and highlight any anomalies, threats, modifications or foreign objects in any vehicle’s undercarriage. Within three seconds after a vehicle passes over UVeye’s ground installed device, at a speed of up to 28 MPH, the system captures multiple images to create a 3D model of the undercarriage and provides high resolution full color visuals to rule out any security risks.
The company has already sold units to many companies and organizations in Asia, The Middle East, Africa and Europe.