How to achieve low light image detection and “see” in the dark? The answer is Omnivision’s Nyxel® NIR Technology! Explore our article that illustrates the features and performance of cutting-edge image processing, ideal for low-light environments.
Image acquisition in low-light environments: problems and solutions
Low light image detection is extremely important in applications such as security and surveillance where cameras analyzing video and images operate in the dark or half-lit. To get a high-quality picture in a low light setting, sensors need to see sharper and farther, while consuming less power. In these kinds of environments, image acquisition devices could struggle to obtain sufficient light sources, resulting in low brightness, blurred outlines and, ultimately, bad signal to noise radio. So, how could we capture images with better brightness and quality contrast in these particular contexts? With Omnivision’s Nyxel NIR technology we can achieve this result, thanks to the solid improvement in the near-infrared (NIR) imaging method. And Dimac Red’s experts can guide customers to discover its features and functionality.
Nyxel® NIR technology explained
From the first prototype to date, this technology has been released in its second generation refining the revolutionary pixel architecture and processes. Above all, Omnivision developed these key features:
- Thicker silicon pixel architecture > to improve NIR imaging sensitivity
- Extended deep trench isolation > to fix cross-talk issues
- Re-optimized scattering layer > to improve the photon paths and increase photon to electron conversion
Basically, by allowing the sensor to collect more light in the NIR frequency range, Nyxel 2 offers the possibility to operate in near or total darkness.
For better comprehension, the picture shows how Nyxel 2 performs in comparison with standard Pixel and the first generation of Nyxel.
Seeing even in the dark
To capture accurate images and deliver optimum image data, Nyxel® NIR technology achieves up to 3x quantum efficiency improvements. Comparing this process with other NIR technologies, the outcome is better photon absorption which translates into improved night vision. As a result, devices can better perform in AR/VR applications through more detailed images and long-distance capabilities. In other words, they can “see” what happens in the dark!
For example, a remarkable improvement could be seen in the 850nm-940nm wavelength range:
Particularly worth mentioning is the increase in the detection range and the reduction of power consumption. This can happen by using fewer IR LEDs for illumination.
Would you see an example of the difference between Nyxel and traditional C-MOS sensors? See for yourself!
Traditonal Vs Nyxel
Dimac Red’s support on behalf of Omnivision
Omnivision is a partner with high potential. At the moment Dimac Red focuses on some aspects towards which to allocate the best possible support and expertise. Meanwhile, we plan for the future to extend our actions and target new markets. Cutting-edge image sensors could be ideal detector solutions for so many applications.