Line-Scan Cameras Improve Imaging Application Efficiency

Line-scan cameras continue to lead the industry in speed and resolution, but how can they impact application efficiency? As takt-times shrink and process speeds increase, utilizing the natural data-streaming of line-scan imaging can reduce processing times, memory allocation, and transfers, improving the efficiency of image processing algorithms. Processing can start immediately without waiting for a full frame of data, reducing latency for quicker decision-making. This results in better yield and accuracy.

Rapid object motion can be an advantage because it’s not necessary to stop object motion to get a good image since line-scan cameras capture superior images of fast-moving objects even in resolutions up to 32k wide. Line-scan also captures multiple color samples per pixel, eliminating aliasing artifacts caused by Bayer color filter patterns. Recent advances with contact image sensors make line-scan cameras even easier to use than in the past.

About the presenter
Dale Deering is senior director for business development at Teledyne Imaging, responsible for oversight of product and business development for all machine vision camera products. Deering has worked in the field of machine vision for over 25 years in both development and business leadership roles and has extensive experience with line-scan use in many high-speed and novel imaging applications. His in-depth knowledge of application requirements and key performance factors combined with technical innovation has produced a succession of imaging products with industry-leading performance and strong global demand.