# UVeye scales automated vehicle-inspection technology globally > Source: > Published: 2026-05-28 13:34:30.198063+00:00 # UVeye scales automated vehicle-inspection technology globally UVeye, an Israeli vehicle-inspection company founded in 2014 by brothers Amir and Ohad Hever, is expanding its drive-thru computer-vision platform across the automotive ecosystem. The Jerusalem Post reports UVeye operates over **1,000 systems** and scans more than **3.5 million vehicles per month**, producing "dozens, hundreds of petabytes" of data, according to CTO Itai Orr. The company describes its product as an "MRI for vehicles," and CEO Amir Hever is quoted saying "AI is only as powerful as the truth it can generate at scale." The Jerusalem Post reports the system detects issues in tires, undercarriages, and exteriors with **96% accuracy**, compared with around **24%** for manual checks. ### What happened The Jerusalem Post reports that **UVeye**, an Israeli vehicle-inspection company founded by brothers **Amir and Ohad Hever** in **2014**, is scaling its drive-thru computer-vision inspection platform across the global automotive market. The Jerusalem Post reports UVeye has deployed over **1,000 systems** and scans more than **3.5 million vehicles per month**, and that CTO **Itai Orr** described the company as holding "dozens, hundreds of petabytes" of vehicle-scan data. The Jerusalem Post quotes CEO **Amir Hever** saying, "AI is only as powerful as the truth it can generate at scale." The Jerusalem Post reports the system can detect issues in tires, undercarriages, and exteriors with **96% accuracy**, compared with around **24%** for manual checks. ### Technical details Editorial analysis - technical context: The Jerusalem Post article frames UVeye as a computer-vision and deep-learning application integrated into a drive-thru hardware setup that produces rapid, scan-level reports. For practitioners, this combination of high-throughput imaging hardware and large-scale labeled scan data is consistent with other production CV deployments that rely on edge capture, centralized model inference or hybrid on-prem/cloud pipelines, and long-term dataset accumulation for continuous model improvement. ### Context and significance Editorial analysis: Large-scale scan volumes and multi-petabyte vehicle datasets, as reported by The Jerusalem Post, make UVeye noteworthy as a data-first vendor in automotive inspection. Companies building similarly broad operational datasets typically gain practical advantages in rare-event detection, domain adaptation across vehicle types, and longitudinal model validation. For fleets, dealers, and manufacturers, automated, repeatable inspection outputs at the reported accuracy differential change operational tradeoffs between manual inspection labor and automated screening. ### What to watch For practitioners: observers should watch adoption signals across rental, fleet, and OEM channels, the availability of integration APIs or analytics dashboards, and whether UVeye publishes model performance breakdowns by vehicle class or operating condition. If UVeye or partners release technical benchmarks or anonymized datasets, those will materially improve external evaluation and reproducibility. ## Scoring Rationale The story documents a notable, production-scale deployment of computer-vision inspection across the automotive value chain, backed by multi-petabyte data and millions of scans. It matters for practitioners evaluating real-world CV deployments, but it is not a frontier-model or platform launch. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)