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Mostrando ítems 11-20 de 58
Ponencia
Real-time single-exposure ROI-driven HDR adaptation based on focal-plane reconfiguration
(Society of Photo-Optical Instrumentation Engineers, 2015)
This paper describes a prototype smart imager capable of adjusting the photo-integration time of multiple regions of interest concurrently, automatically and asynchronously with a single exposure period. The operation is ...
Ponencia
On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera
(Association for Computing Machinery, 2018)
This demo showcases a low-cost smart camera where different hardware configurations can be selected to perform image recognition on deep neural networks. Both the hardware configuration and the network model can be changed ...
Ponencia
Wi-FLIP: A wireless smart camera based on a focal-plane low-power image processor
(Institute of Electrical and Electronics Engineers, 2011)
This paper presents Wi-FLIP, a vision-enabled WSN node resulting from the integration of FLIP-Q, a prototype vision chip, and Imotel, a commercial WSN platform. In Wi-FLIP, image processing is not only constrained to the ...
Artículo
High dynamic range adaptation for ROI tracking based on reconfigurable concurrent dual-sensing
(Institution of Civil Engineers (Great Britain), 2014)
A single-exposure technique to extend the dynamic range of vision sensors is presented. It is particularly suitable for vision algorithms requiring region-of-interest (ROI) tracking under varying illumination conditions. ...
Ponencia
On-site forest fire smoke detection by low-power autonomous vision sensor
(2010)
Early detection plays a crucial role to prevent forest fires from spreading. Wireless vision sensor networks deployed throughout high-risk areas can perform fine-grained surveillance and thereby very early detection and ...
Ponencia
Power-efficient focal-plane image representation for extraction of enriched Viola-Jones features
(Institute of Electrical and Electronics Engineers, 2012)
This paper describes the use of a reconfigurable focal-plane processing array in order to achieve an image representation which dramatically reduces the computational load of the Viola-Jones object detection framework. ...
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 ...
Capítulo de Libro
Towards an ultra‐low‐power low‐cost wireless visual sensor node for fine‐grain detection of forest fires
(Universidade de Coimbra, 2014)
Advances in electronics, sensor technologies, embedded hardware and software are boosting the application scenarios of wireless sensor networks. Specifically, the incorporation of visual capabilities into the nodes means ...
Ponencia
Form Factor Improvement of Smart-Pixels for Vision Sensors through 3-D Vertically- Integrated Technologies
(Institute of Electrical and Electronics Engineers, 2014)
While conventional CMOS active pixel sensors embed only the circuitry required for photo-detection, pixel addressing and voltage buffering, smart pixels incorporate also circuitry for data processing, data storage and ...
Ponencia
Experimental Evidence of Power Efficiency due to Architecture in Cellular Processor Array Chips
(Institute of Electrical and Electronics Engineers, 2016)
Speeding up algorithm execution can be achieved by increasing the number of processing cores working in parallel. Of course, this speedup is limited by the degree to which the algorithm can be parallelized. Equivalently, ...