Edge AI vs. Cloud ANPR: Where Should the Decision Happen for Traffic Enforcement?
When a vehicle crosses the trigger point, the camera has a fraction of a second to capture the plate, process it and recognize it. Then,
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Building a Vision System for a Next-Gen Robot? Here’s What You Must Know
by Suresh Madhu
Although a camera might seem to be just one part of a robot, its output has an effect on a much longer engineering chain. The
Understanding SLVS-EC: Bridge the Gap Between High-Speed Sony Sensors and MIPI-Based SoCs
by Prabu Kumar
Industrial imaging applications continue to push camera requirements toward higher resolutions, faster frame rates, greater bit depths, and advanced sensor capabilities. This creates a corresponding
Why IATF 16949 Matters When Choosing an Embedded Vision Partner for Automotive Applications
by Suresh Madhu
When selecting a partner for embedded vision in order to bring an automotive system to life, it is not enough merely to compare image sensors,
Common Challenges in Rear-View Vision Systems – and How STURDeCAM12 Solves Them
by Suresh Madhu
Rear-view cameras operate in conditions that can change within seconds. Direct sunlight may fall on one part of the scene. At the same time, another
e-con Systems Is Now IATF 16949 Certified: A Step Towards Advancing Automotive Vision Excellence
by Prabu Kumar
e-con Systems has achieved IATF 16949 certification, with its scope covering design and manufacturing of embedded vision systems, marking a new milestone in our automotive
What is Vehicle Make and Model Recognition (MMR)? A Guide to AI-Based Vehicle Recognition
by Dilip Kumar
Modern roads generate more vehicle data than ever before. Traffic management systems, security checkpoints, parking facilities, tolling infrastructure, and law enforcement agencies all depend on
How to Evaluate Lens Flare in Embedded Vision Systems: From ISO 18844 to IEEE P2020
by Prabu Kumar
When evaluating the performance of a camera system, it is easy to assume that image artifacts stem from the digital sensor or the Image Signal
From Pixels to Payments: Building a Revenue-Grade Tolling Ecosystem
by Dilip Kumar
In the first two parts of this three-part blog series, you saw why camera design matters in ORT and MLFF and how transaction validation works.