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Artículo
A Customizable Thermographic Imaging System for Medical Image Acquisition and Processing
(Institute of Electrical and Electronics Engineers, 2022)
A custom system has been developed for medical image acquisition and processing in both the visible and the infrared (IR) bands. Unlike some non-customizable commercial devices, this system can easily be adapted to different ...
Artículo
A 3-D Chip Architecture for Optical Sensing and Concurrent Processing
(SPIE, 2010)
This paper presents an architecture for the implementation of vision chips in 3-D integration technologies. This architecture employs the multi-functional pixel concept to achieve full parallel processing of the information ...
Artículo
A Low-Latency, Low-Power CMOS Sun Sensor for Attitude Calculation Using Photovoltaic Regime and On-Chip Centroid Computation
(Institute of Electrical and Electronics Engineers, 2023)
The demand for sun sensors has skyrocketed in the last years due to the huge expected deployment of satellites associated with the New Space concept. Sun sensors compute the position of the sun relative to the observer and ...
Artículo
A Mobile Platform for Movement Tracking Based on a Fast-Execution-Time Optical-Flow Algorithm
(Institute of Electrical and Electronics Engineers, 2022)
A multi-purpose mechanical platform to track moving objects in three-dimensional space has been developed. It is composed of one main microcontroller board that processes all system data, two cameras, three motors, and one ...
Artículo
A self-powered asynchronous image sensor with TFS operation
(Institute of Electrical and Electronics Engineers Inc., 2023-04-01)
This article presents a self-powered image sensor with a novel pixel architecture with energy harvesting capabilities. Pixels are autonomous entities that can harvest or sense illumination independently. Pixels have a fully ...
Artículo
Performance Analysis of Real-Time DNN Inference on Raspberry Pi
(SPIE, 2018)
Deep Neural Networks (DNNs) have emerged as the reference processing architecture for the implementation of multiple computer vision tasks. They achieve much higher accuracy than traditional algorithms based on shallow ...
Artículo
Learning under hardware restrictions in CMOS fuzzy controllers able to extract rules from examples
(Universidad de Granada. Departamento de Ciencias de la Computación e Inteligencia Artificial, 1996)
Fuzzy controllers are able to incorporate knowledge expressed in if-then rules. These rules are given by experts or skilful operators. Problems arise when there are no experts or/and rules are not easy to find. Author's ...
Artículo
Performance assessment of deep learning frameworks through metrics of CPU hardware exploitation on an embedded platform
(J.J. Strossmayer University of Osijek, 2020)
In this paper, we analyze heterogeneous performance exhibited by some popular deep learning software frameworks for visual inference on a resource-constrained hardware platform. Benchmarking of Caffe, OpenCV, TensorFlow, ...
Artículo
Neuro-fuzzy chip to handle complex tasks with analog performance
(Institute of Electrical and Electronics Engineers (IEEE), 2003)
This Paper presents a mixed-signal neuro-fuzzy controller chip which, in terms of power consumption, input-output delay and precision performs as a fully analog implementation. However, it has much larger complexity than ...