Embedded low-power low-cost Camera Sensor based on FPGA and its applications in mobile robots

Albó-Canals, Jordi; Ortega, Sergio; Perdices, Sergi; Badalov, A.; Vilasís-Cardona, X.

doi:10.1109/icecs.2012.6463733

Cited by 2 publications

(4 citation statements)

References 10 publications

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“…The term smart camera is currently employed for cameras that combine video sensing, processing, and communication on a single embedded platform [ 17 ]. The integration of the hardware and software components of a computer vision system in a single portable smart camera is a challenging task.…”

Section: Sensors Systems Based On Fpgasmentioning

confidence: 99%

“…The great majority of the works including an FPGA have been conducted to obtain a smarter camera sensor. In [ 17 ] a binary discrete time Cellular Nonlinear Network (CNN) camera prototype based on an Actel IGLOO FPGA is proposed. The camera is employed to guide a LEGO Mindstorm robot.…”

Section: Computer Vision Systems Based On Fpgasmentioning

confidence: 99%

“…The IGLOO family is a low power, based on 3-input LUT and 130 nm process technology, its RAM is a true dual-port memory and the larger devices are able to implement a 32-bit ARMprocessor as a soft-core block. In [ 17 ], the authors implement a low-cost camera sensor based on Actel IGLOO FPGA that fits its low power consumption, reprogrammability and cost requirements.…”

Section: Fpgas Employed In Sensor Systemsmentioning

confidence: 99%

“…However, as it will be described in Section 2, this research can be classified into different topics. The term smart sensors [ 16 , 17 ] is typically employed to refer to sensors which integrate the use of an FPGA to perform several functions in a single portable device. Smart sensors are devices that are optimally designed to measure specific physical phenomena that are normally difficult to measure.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

García

Jara

Pomares

et al. 2014

Sensors

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The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field.

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Section: Sensors Systems Based On Fpgasmentioning

confidence: 99%

Section: Computer Vision Systems Based On Fpgasmentioning

confidence: 99%

Section: Fpgas Employed In Sensor Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

García

Jara

Pomares

et al. 2014

Sensors

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Embedded Vision Systems: A Review of the Literature

Bhowmik

Appiah

2018

Applied Reconfigurable Computing. Architectures, Tools, and Applications

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Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the acceleration of various vision systems mainly on embedded devices have become widespread. The reconfigurable and parallel nature of the FPGA opens up new opportunities to speed-up computationally intensive vision and neural algorithms on embedded and portable devices. This paper presents a comprehensive review of embedded vision algorithms and applications over the past decade. The review will discuss vision based systems and approaches, and how they have been implemented on embedded devices. Topics covered include image acquisition, preprocessing, object detection and tracking, recognition as well as high-level classification. This is followed by an outline of the advantages and disadvantages of the various embedded implementations. Finally, an overview of the challenges in the field and future research trends are presented. This review is expected to serve as a tutorial and reference source for embedded computer vision systems.

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Embedded low-power low-cost Camera Sensor based on FPGA and its applications in mobile robots

Cited by 2 publications

References 10 publications

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

Embedded Vision Systems: A Review of the Literature

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