Falling has been one of the major concerns and threats to the independence of the elderly in their daily lives. With the worldwide significant growth of the aging population, it is essential to have a promising solution of fall detection which is able to operate at high accuracy in real-time and supports large scale implementation using multiple cameras. Field Programmable Gate Array (FPGA) is a highly promising tool to be used as a hardware accelerator in many emerging embedded vision based system. Thus, it is the main objective of this paper to present an FPGA-based solution of visual based fall detection to meet stringent real-time requirements with high accuracy. The hardware architecture of visual based fall detection which utilizes the pixel locality to reduce memory accesses is proposed. By exploiting the parallel and pipeline architecture of FPGA, our hardware implementation of visual based fall detection using FGPA is able to achieve a performance of 60fps for a series of video analytical functions at VGA resolutions (640x480). The results of this work show that FPGA has great potentials and impacts in enabling large scale vision system in the future healthcare industry due to its flexibility and scalability.
Blockchain-integrated deep learning intrusion detection systems for the Internet of Things have attracted growing research attention, yet the relationship between detection depth and blockchain trust scope in these architectures has not been examined systematically. This analysis…
This dataset release represents Part 4 of the comprehensive young trefoil crop agricultural analysis project. While Part 1, Part 2 and Part 3 provided the raw image captures and camera parameters and machine-learning-ready image tiles. Part 4 delivers fully processed, georeferenc…
This dataset release represents Part 4 of the comprehensive young trefoil crop agricultural analysis project. While the four previous parts provided the raw image captures and camera parameters and machine-learning-ready image tiles. Part 5 delivers fully processed, georeferenced…
Abstract: Market intelligence software gathers and processes information on demand, supply, competition and customers to help managers, farmers and other stakeholders in the value chain of agriculture. When such software is combined with artificial intelligence (AI) it becomes we…
Radiography, renowned for its diagnostic prowess and affordability, plays a key role in detecting diseases, including critical conditions. Chest radiography, focusing on a vital body area, poses interpretational challenges, necessitating experienced radiologists for accurate diag…
developing a nature-inspired design framework for self-regulating urban parks: a digital twin-based model for intelligent landscape management parisa azimi1, sepideh habibpour mehraban2 1- M.Sc in Enviromental Design2- M.Sc in Enviromental Design Abstract Urban parks have faced i…