SCAMP5D vision system and development framework (2025)

Abstract

We demonstrate the Scamp5d integrated vision system and its development framework. The sensor of the camera is the SCAMP-5 vision chip, which provides sensor-level SIMD parallel processing capability, embedding a processor in each of its 256 × 256 pixels. A dual-core ARM micro-controller is used to operate the vision chip and provide additional computation capability and IO interfaces. The vision system is programmed using the C++ language. Common IO buses, as well as a USB2.0 port, allow the Scamp5d to be connected to micro-controllers, single board computers, or other hardware. The vision system can be remotely debugged, configured and re-programmed over the network. The open design of Scamp5d's software interface allows for easy integration with other software systems, such as ROS. As a self-contained vision system, Scamp5d can output highly processed data instead of video streams, which is suitable for applications such as miniature robots and distributed sensor networks. Simulation of the vision chip is provided through cross-compiling. Documentation, tutorials, and the simulation software are available for download.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Electronic)9781450365116
DOIs
Publication statusPublished - 3 Sept 2018
Event12th International Conference on Distributed Smart Cameras, ICDSC 2018 - Eindhoven, Netherlands
Duration: 3 Sept 20184 Sept 2018

Conference

Conference12th International Conference on Distributed Smart Cameras, ICDSC 2018
Country/TerritoryNetherlands
CityEindhoven
Period3/09/184/09/18

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  • 1 Finished
  • An integrated vision and Control Architecture for Agile Robotic Exploration

    Dudek, P. (PI)

    1/09/1531/08/19

    Project: Research

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Chen, J., Carey, S. J. (2018). SCAMP5D vision system and development framework. In Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018 Article a23 Association for Computing Machinery. https://doi.org/10.1145/3243394.3243698

Chen, Jianing ; Carey, Stephen J. ; Dudek, Piotr. / SCAMP5D vision system and development framework. Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018. Association for Computing Machinery, 2018.

@inproceedings{00d1220557a74688845def3347a8d10f,

title = "SCAMP5D vision system and development framework",

abstract = "We demonstrate the Scamp5d integrated vision system and its development framework. The sensor of the camera is the SCAMP-5 vision chip, which provides sensor-level SIMD parallel processing capability, embedding a processor in each of its 256 × 256 pixels. A dual-core ARM micro-controller is used to operate the vision chip and provide additional computation capability and IO interfaces. The vision system is programmed using the C++ language. Common IO buses, as well as a USB2.0 port, allow the Scamp5d to be connected to micro-controllers, single board computers, or other hardware. The vision system can be remotely debugged, configured and re-programmed over the network. The open design of Scamp5d's software interface allows for easy integration with other software systems, such as ROS. As a self-contained vision system, Scamp5d can output highly processed data instead of video streams, which is suitable for applications such as miniature robots and distributed sensor networks. Simulation of the vision chip is provided through cross-compiling. Documentation, tutorials, and the simulation software are available for download.",

author = "Jianing Chen and Carey, {Stephen J.} and Piotr Dudek",

year = "2018",

month = sep,

day = "3",

doi = "10.1145/3243394.3243698",

language = "English",

booktitle = "Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018",

publisher = "Association for Computing Machinery",

address = "United States",

note = "12th International Conference on Distributed Smart Cameras, ICDSC 2018 ; Conference date: 03-09-2018 Through 04-09-2018",

}

Chen, J, Carey, SJ 2018, SCAMP5D vision system and development framework. in Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018., a23, Association for Computing Machinery, 12th International Conference on Distributed Smart Cameras, ICDSC 2018, Eindhoven, Netherlands, 3/09/18. https://doi.org/10.1145/3243394.3243698

SCAMP5D vision system and development framework. / Chen, Jianing; Carey, Stephen J.; Dudek, Piotr.
Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018. Association for Computing Machinery, 2018. a23.

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

TY - GEN

T1 - SCAMP5D vision system and development framework

AU - Chen, Jianing

AU - Carey, Stephen J.

AU - Dudek, Piotr

PY - 2018/9/3

Y1 - 2018/9/3

N2 - We demonstrate the Scamp5d integrated vision system and its development framework. The sensor of the camera is the SCAMP-5 vision chip, which provides sensor-level SIMD parallel processing capability, embedding a processor in each of its 256 × 256 pixels. A dual-core ARM micro-controller is used to operate the vision chip and provide additional computation capability and IO interfaces. The vision system is programmed using the C++ language. Common IO buses, as well as a USB2.0 port, allow the Scamp5d to be connected to micro-controllers, single board computers, or other hardware. The vision system can be remotely debugged, configured and re-programmed over the network. The open design of Scamp5d's software interface allows for easy integration with other software systems, such as ROS. As a self-contained vision system, Scamp5d can output highly processed data instead of video streams, which is suitable for applications such as miniature robots and distributed sensor networks. Simulation of the vision chip is provided through cross-compiling. Documentation, tutorials, and the simulation software are available for download.

AB - We demonstrate the Scamp5d integrated vision system and its development framework. The sensor of the camera is the SCAMP-5 vision chip, which provides sensor-level SIMD parallel processing capability, embedding a processor in each of its 256 × 256 pixels. A dual-core ARM micro-controller is used to operate the vision chip and provide additional computation capability and IO interfaces. The vision system is programmed using the C++ language. Common IO buses, as well as a USB2.0 port, allow the Scamp5d to be connected to micro-controllers, single board computers, or other hardware. The vision system can be remotely debugged, configured and re-programmed over the network. The open design of Scamp5d's software interface allows for easy integration with other software systems, such as ROS. As a self-contained vision system, Scamp5d can output highly processed data instead of video streams, which is suitable for applications such as miniature robots and distributed sensor networks. Simulation of the vision chip is provided through cross-compiling. Documentation, tutorials, and the simulation software are available for download.

UR - http://www.mendeley.com/research/scamp5d-vision-system-development-framework

UR - http://www.mendeley.com/research/scamp5d-vision-system-development-framework

U2 - 10.1145/3243394.3243698

DO - 10.1145/3243394.3243698

M3 - Conference contribution

AN - SCOPUS:85056623994

BT - Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018

PB - Association for Computing Machinery

T2 - 12th International Conference on Distributed Smart Cameras, ICDSC 2018

Y2 - 3 September 2018 through 4 September 2018

ER -

Chen J, Carey SJ, Dudek P. SCAMP5D vision system and development framework. In Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018. Association for Computing Machinery. 2018. a23 doi: 10.1145/3243394.3243698

SCAMP5D vision system and development framework (2025)

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