TE300 – A new skin tone test chart
Introducing the TE300 Skin Tone Checker: a modern tool for assessing skin tone accuracy in camera systems with real-world spectral data.
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More and more image processing is taking place directly on edge devices. As a result, the demands placed on intelligent vision systems continue to grow, as do the requirements for the image data on which their decisions are based. Through our membership in the Edge AI and Vision Alliance, we contribute our expertise in image quality and camera testing to an international community.
Evaluating Image Quality Under Real-World Conditions
Modern vehicles no longer observe only their surroundings. Driver and Occupant Monitoring Systems (DMS/OMS) analyze what happens inside the cabin, from gaze direction and driver drowsiness to occupant position and behavior. Many of these systems rely on invisible NIR illumination. To ensure reliable performance, they must also be tested under those exact conditions.
From Measurements to Perception: Acceptance Thresholds for Image Quality
Resolution, noise, and dynamic range can be measured with great precision. But at what point do changes actually become visible to people, and when are images still considered acceptable? A recent study investigates how different image quality parameters are perceived and shows how technical measurements can be linked to human evaluation.