Evaluation of an Integer Optimized Shape Matching Algorithm

Activity: Talk or presentationTalk at conference or symposiumScience to science


Computer vision and machine learning algorithms are often used for quality control for industrial products. Nowadays, neural networks can perform very well to detect the desired objects. Sometimes, the system has limited resources and is not capable of processing complex algorithms or use neural networks. Here, simpler algorithms are used for shape or object detection. The scope of the present work is to even lower the complexity of the shape matching algorithm by converting a shape detection algorithm to an integer version and evaluate the results. This allows to remove floating-point units (FPU) of processors and reduce the area of a System-on-Chip (SoC) design of a smart image sensor.
Period23 Aug 202125 Aug 2021
Event title16th IEEE Sensors Applications Symposium: SAS 2021
Event typeConference
SponsorsIEEE, IEEE - Institute of Electrical and Electronics Engineers
LocationVirtual, Sundsvall, SwedenShow on map
Degree of RecognitionInternational