Computer vision techniques explained

Computer vision techniques to analyse video content
Classification, localization, detection, segmentation, tracking and identification are frequently used terms when talking about smart camera’s and intelligent applications. They are all computer vision and deep learning techniques to analyze video content. For many people the terminology is confusing. This article will breakdown the concepts and shineread more

Contextual enrichment of ANPR results

An alarm warns the cashier as blacklisted vehicle enter the premises
Data enrichment and contextual data is used to enhance raw information and broaden or deepen the narrow context of original data. It is used in all sectors, throughout all industries including the security and mobility industry. In combination with license plate recognition it is used for lawread more

Edge based visual intelligence

Edge based visual intelligence
Until recently the design of high quality security cameras have always been at the forefront of the electronics industry. Digital pixel technologies led to unprecedented gains in image quality and framerates, boosting video performance. Surveillance cameras became better observers, but still functioned like portholes; useful only whenread more

Face mask detection

AVUTEC embedded detection algorithms
BREDA- AVUTEC, a Dutch manufacturer of AI cameras launches edge-based  face mask detection. Their AI camera analyzes video images in real time and detects face masks with high frame rates and without latency. While recognition is done completely on-device, the camera only transmits detection results, ensuring low bandwidthread more

AI as a digital assistent

Facemask detection on the edge
Most European governments decided to make it mandatory to wear a face mask in public transport. In many other industries face masks protect the health of employees. Is it necessary to enforce these regulations, or will people voluntarily wear aerosol protection out of respect for the safetyread more