A face mask worn by a single person or a group of individuals can be identified using face
mask detection, an AI-based system that examines a video stream. A confidence value is …

The Internet of Robotic Things (IoRT) is growing rapidly with new applications. Co-operatory
robotics enables the sharing of information, autonomy, and fail-safe interaction with …

Facial recognition research is one of the different types of research in this world today. In
recent years, facial recognition in robots has attracted increased study interest. Robotic …

In the post-pandemic world, surveillance cameras play a key aspect when it comes to
detecting various kinds of security risks. These can range from burglars entering a premises …

Abstract Deployment of Face Recognition systems on the edge has seen significant growth
due to advancements in hardware design and efficient neural architectures. However …

Pedestrian tracking is a challenging task in the area of visual object tracking research and it
is a vital component of various vision-based applications such as surveillance systems …

Lightweight computer vision models with a better balance of speed and accuracy are critical
for intelligent system devices. Wearing a mask correctly can effectively prevent the spread of …

Facial expression recognition (FER) in the wild is an active and challenging field of
research. A system for automatic FER finds use in a wide range of applications related to …

Deep learning (DL) compilers are crucial for deploying DL models and speeding up their
inferences. Meanwhile, they may introduce numerical deviations, and finally undefined or …

Keyword Spotting (KWS) is the task of recognizing spoken command words from a
database. With recent application human-machine interactions, KWS systems require real …