Signal-to-Noise Ratio (SNR) measures the strength of the desired signal relative to the background noise. Demystify how SNR is calculated and develop an understanding of the practical steps to improve SNR.
Gamma correction play a key role in ensuring that images appear correctly in the camera, taking into account the non-linear perception of brightness. Get to know how gamma correction works, why it's important for embedded vision systems and some of the challenges that need to be overcome.
The importance of High Dynamic Range (HDR) in new-age embedded vision applications has been steadily growing. They can capture fine details from scenes despite changing light conditions. Get expert insights to better understand the six main HDR techniques, their pros and cons, and practical use cases.
An Inertial Measurement Unit (IMU) detects movements and rotations across six degrees of freedom, representing the types of motion a system can experience. When paired with ToF cameras, it ensures accurate spatial understanding and enhances robotic navigation systems. Get expert insights into how IMUs are redefining the capabilities of 3D
Spectral sensitivity dictates how camera sensors respond to different wavelengths of light - impacting the accuracy of image capture. But, each application has unique requirements that demand specific spectral sensitivities. Find out more about spectral sensitivity, how it enhances embedded vision devices, and the factors that influence it.
LED flickers can impact the performance of embedded vision systems. To address this, LED Flicker Mitigation (LFM) is crucial for applications like AMRs, ADAS, fleet management systems, etc. Know more about the significance of LFM, its use cases, and the range of LFM-equipped cameras offered by e-con Systems.
Split-pixel HDR technology is a game-changer in embedded vision, allowing camera systems to capture a broader range of brightness levels for more vibrant and true-to-life images. Explore the two HDR modes, see how split-pixel HDR works, and know why it is so popular, these days.
Image sensors are responsible for capturing visual data, which is extremely crucial for the overall performance of the embedded vision system. But there are many factors to be considered, like resolution, frame rate, etc. Get to know about EMCCD, sCMOS, CMOS, and CCD sensors – and how they compare against
Over the past two decades, CMOS cameras have evolved – enabling better performance in applications used in scientific research, medical imaging, industrial inspection, etc. But what makes them perfect for these industries – how do CMOS cameras actually work? Get insights on their use cases and five features that make