Hever Amir, co-founder and CEO of UVeye, is revolutionizing vehicle safety with cutting-edge computer vision technology. His journey began when he entered a government building and was subjected to a manual inspection of his car's undercarriage by a security guard. The process was slow, inefficient, and left him questioning the effectiveness of traditional methods. This experience sparked an idea: there had to be a better way to ensure vehicle safety.
“I asked the guard what he was looking for,†Hever recalls. “He was honest and focused on detecting threats, but nothing was found. That moment made me realize that visual inspections are not reliable or efficient enough.†Inspired by this realization, Hever assembled a team and founded UVeye in New York in 2016. Their mission was clear: to develop a system that could accurately detect anomalies in vehicle chassis using advanced deep learning techniques.
UVeye’s core focus is on identifying changes in a car’s undercarriage after it has been driven for thousands of miles. Hever explains, “It’s challenging because there are no universal standards for what a normal chassis should look like. Plus, threats can be hidden or subtle.†To tackle this, UVeye developed unsupervised learning algorithms capable of detecting even the smallest irregularities—whether it's a foreign object the size of a USB drive or a suspicious protrusion that might be hiding something dangerous.
To train their models, the company leased hundreds of vehicles in various conditions, scanning their chassis and creating detailed 2D and 3D images. These datasets were then fed into their deep learning systems, which analyze each component individually to spot any deviations from the norm.
UVeye relies on powerful computing infrastructure, including workstations equipped with multiple NVIDIA GPUs. When additional processing power is needed, they turn to cloud platforms like AWS and Microsoft Azure. “GPU and CUDA parallel computing have drastically accelerated our development and improved our system’s performance,†Hever says.
The company’s first product line allows consumers to automatically scan, detect, and identify issues in vehicle undercarriages. UVeye systems are now installed in over 30 locations worldwide, scanning cars as they pass by. This real-world data helps refine their algorithms and ensures the system’s accuracy and reliability.
Hever emphasizes the speed and efficiency of their solution: “With GPU-powered detection, we can scan a moving vehicle in just three seconds and identify any anomalies.†Beyond the chassis, UVeye’s technology extends to full vehicle inspections, detecting cracks, wear, and other potential issues.
UVeye is transforming the automotive inspection industry, offering a “detection as a service†model that appeals to both consumers and institutions. With applications in security, national defense, and fleet management, the company sees vast potential for growth. As Hever puts it, “We’re changing the way people and organizations inspect vehicles.â€
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