Historically, FPGA designers have used integer processing whenever possible because
floating-point processing was prohibitively costly due to higher logic requirements and …

A detailed, practical review of state-of-the-art implementations of memory in IoT hardware As
the Internet of Things (IoT) technology continues to evolve and become increasingly …

Recent advances in photonics and imaging technology allow the development of cutting-
edge, lightweight hyperspectral sensors, both push-broom/line-scanning and …

3D ball tracking is a critical function in many applications such as game and players'
behavior analysis, and real time implementation has become increasingly important for it …

Face Recognition is an application used for identification of a person among the pool of
images. The main goal is to identify the face among the database of images. As the …

Face detection is critical function in many embedded applications such as computer vision
and security as it is widely used as preprocessor for face recognition systems. As a …

Cloud companies have been exploiting CPU-FPGA collaborative environments to accel
erate multi-tenant task requests with scalability and maximize resource utilization. In this …

Deep learning (DL) has proved itself be one of the most important developements till date
with far reaching impacts in numerous fields like robotics, computer vision, surveillance …

The face detection process is one of the research objects in the field of image processing
which aims to recognize faces from an image. Performance and face detection accuracy can …

Recently, many studies of field programmable gate array (FPGA) hardware accelerators
have been reported, in addition to studies of general-purpose computing on graphics …