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Object Detection

Behavioral detection

A method of observing human behavior which can include physiological, verbal and non-verbal indicators. These behaviors can indicate something potentially untoward or in need of further investigation.

Object detection is a branch of artificial intelligence (AI) that involves identifying and localizing objects within digital images or videos.

This capability is fundamental to many applications, ranging from surveillance systems and autonomous vehicles to image recognition platforms and medical diagnostics. The behavior of AI in object detection can be understood in terms of how it is typically implemented and the challenges it faces.

Pose Estimation

Real-time vehicle and pedestrian detection

Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images.

Deep learning techniques have emerged as a powerful strategy for learning feature representations directly from data and have led to remarkable breakthroughs in the field of generic object detection

IMAGE SEGMENTATION

Deep Learning Model For Semantic Image Segmentation

Why Computer vision

Computer Vision AI

Computer technology that is able to identify the presence of people’s faces within digital images

sense one or more of the products or phenomena resulting from fire, such as smoke, heat, infrared and/or ultraviolet light radiation, or gas

the process of identifying and analyzing the underlying emotions expressed in textual data

 

 

 

 

An engineering subfield that focuses on analysing, modifying, and synthesizing signals such as sound, images, and scientific measurements

A technology that processes a digital video signal using a special algorithm to perform a security-related function.

A method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it

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