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 language | English |
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Title of host publication | Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018 |
Publisher | Association for Computing Machinery |
Number of pages | 2 |
ISBN (Electronic) | 9781450365116 |
DOIs | |
Publication status | Published - 3 Sept 2018 |
Event | 12th International Conference on Distributed Smart Cameras, ICDSC 2018 - Eindhoven, Netherlands Duration: 3 Sept 2018 → 4 Sept 2018 |
Conference
Conference | 12th International Conference on Distributed Smart Cameras, ICDSC 2018 |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 3/09/18 → 4/09/18 |
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An integrated vision and Control Architecture for Agile Robotic Exploration
Dudek, P. (PI)
1/09/15 → 31/08/19
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 proceeding › Conference contribution › peer-review
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AU - Carey, Stephen J.
AU - Dudek, Piotr
PY - 2018/9/3
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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.
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DO - 10.1145/3243394.3243698
M3 - Conference contribution
AN - SCOPUS:85056623994
BT - Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018
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T2 - 12th International Conference on Distributed Smart Cameras, ICDSC 2018
Y2 - 3 September 2018 through 4 September 2018
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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