AR0521

Life Sciences

Overcome the challenges of classifying blood collection tubes using AI cameras

Balaji S
Picking the right camera for an automated blood collection tube classification system is a daunting task, especially given the challenges such as skewness in placement, varying lighting, and multiple colors. In this article, learn how to overcome these challenges using a world-class embedded camera and machine learning-based data augmentation approach....
Sensor and ISP Technology Deep Dive

What is Signal-to-Noise Ratio (SNR)? Why is SNR important in embedded cameras?

Prabu Kumar
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....
Camera Applications Others Our Product Insights USB Cameras

See3CAM_CU55M – the perfect monochrome camera for Iris Recognition Systems

Vinoth Rajagopalan
Biometric access control systems depend on iris recognition technology to detect frauds and security breaches in banks, airports, hospitals, etc. Learn why monochrome cameras like See3CAM_CU55M with unique features are best-suited for iris recognition applications....
Camera Applications Others

Powering Embedded Imaging and Vision applications with NVIDIA Jetson Xavier NX

Yogaesh
The emergence of AI capabilities on edge platforms has sparked a new range of embedded vision applications. Get to know why NVIDIA Jetson Xavier NX and e-CAM50_CUNX are your go-to combo to develop world-class camera systems....
Camera Applications Life Sciences

Pick the right digital camera for your microscopic devices

Christy Bharath
Microscopic applications require good color reproduction, sensitivity, resolution, etc. So, what are the major camera features that you need for your microscopic device to perform exceptionally well? Find out and learn why See3CAM_CU55M is the best camera solution for microscopes....