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Alqaysi, H., Lawal, N., Fedorov, I., Thörnberg, B. & O'Nils, M. (2019). Design Exploration of Multi-Camera Dome. In: ICDSC 2019 Proceedings of the 13th International Conference on Distributed Smart Cameras: . Paper presented at 13th InternationalConference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9-11 September, 2019. New York, NY: ACM Digital Library, Article ID Article No. 7a.
Öppna denna publikation i ny flik eller fönster >>Design Exploration of Multi-Camera Dome
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2019 (Engelska)Ingår i: ICDSC 2019 Proceedings of the 13th International Conference on Distributed Smart Cameras, New York, NY: ACM Digital Library, 2019, artikel-id Article No. 7aKonferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Visual monitoring systems employ distributed smart cameras toeffectively cover a given area satisfying specific objectives. Thechoice of camera sensors and lenses and their deployment affectsdesign cost, accuracy of the monitoring system and the ability toposition objects within the monitored area. Design cost can bereduced by investigating deployment topology such as groupingcameras together to form a dome at a node and optimize it formonitoring constraints. The constraints may include coverage area,number of cameras that can be integrated in a node and pixelresolution at a given distance. This paper presents a method foroptimizing the design cost of multi-camera dome by analyzing tradeoffsbetween monitoring constraints. The proposed method can beused to reduce monitoring cost while fulfilling design objectives.Results show how to increase coverage area for a given cost byrelaxing requirements on design constraints. Multi-camera domescan be used in sky monitoring applications such as monitoring windparks and remote air-traffic control of airports where all-round fieldof view about a point is required to monitor.

Ort, förlag, år, upplaga, sidor
New York, NY: ACM Digital Library, 2019
Nyckelord
Distributed smart cameras, sky monitoring, volumetric surveillance.
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-36762 (URN)10.1145/3349801.3349808 (DOI)2-s2.0-85073333209 (Scopus ID)978-1-4503-7189-6 (ISBN)
Konferens
13th InternationalConference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9-11 September, 2019
Projekt
SMART
Tillgänglig från: 2019-07-29 Skapad: 2019-07-29 Senast uppdaterad: 2019-11-14Bibliografiskt granskad
Dreier, T., Krapohl, D., Maneuski, D., Lawal, N., Schöwerling, J. O., O'Shea, V. & Fröjdh, C. (2018). A USB 3.0 readout system for Timepix3 detectors with on-board processing capabilities. Paper presented at 20th International Workshop on Radiation Imaging Detectors, Sundsvall, Sweden, JUN 24-28, 2018. Journal of Instrumentation, 13, Article ID C11017.
Öppna denna publikation i ny flik eller fönster >>A USB 3.0 readout system for Timepix3 detectors with on-board processing capabilities
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2018 (Engelska)Ingår i: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 13, artikel-id C11017Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Timepix3 is a high-speed hybrid pixel detector consisting of a 256 x 256 pixel matrix with a maximum data rate of up to 5.12 Gbps (80 MHit/s). The ASIC is equipped with eight data channels that are data driven and zero suppressed making it suitable for particle tracking and spectral imaging.

In this paper, we present a USB 3.0-based programmable readout system with online preprocessing capabilities. USB 3.0 is present on all modern computers and can, under real-world conditions, achieve around 320MB/s, which allows up to 40 MHit/s of raw pixel data. With on-line processing, the proposed readout system is capable of achieving higher transfer rate (approaching Timepix4) since only relevant information rather than raw data will be transmitted. The system is based on an Opal Kelly development board with a Spartan 6 FPGA providing a USB 3.0 interface between FPGA and PC via an FX3 chip. It connects to a CERN T imepix 3 chipboard with standard VHDCI connector via a custom designed mezzanine card. The firmware is structured into blocks such as detector interface, USB interface and system control and an interface for data pre-processing. On the PC side, a Qt/C++ multi-platformsoftware library is implemented to control the readout system, providing access to detector functions and handling high-speed USB 3.0 streaming of data from the detector.

We demonstrate equalisation, calibration and data acquisition using a Cadmium Telluride sensor and optimise imaging data using simultaneous ToT (Time-over-Threshold) and ToA (Timeof- Arrival) information. The presented readout system is capable of other on-line processing such as analysis and classification of nuclear particles with current or larger FPGAs.

Nyckelord
Data processing methods, Detector control systems (detector and experiment monitoring and slow-control systems, architecture, hardware, algorithms, databases), Front-end electronics for detector readout, X-ray detectors
Nationell ämneskategori
Acceleratorfysik och instrumentering
Identifikatorer
urn:nbn:se:miun:diva-34944 (URN)10.1088/1748-0221/13/11/C11017 (DOI)000450981800001 ()2-s2.0-85057630487 (Scopus ID)
Konferens
20th International Workshop on Radiation Imaging Detectors, Sundsvall, Sweden, JUN 24-28, 2018
Tillgänglig från: 2018-11-30 Skapad: 2018-11-30 Senast uppdaterad: 2019-01-15Bibliografiskt granskad
Alqaysi, H., Lawal, N., Fedorov, I. & O'Nils, M. (2018). Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring. In: ACM International Conference Proceeding Series: . Paper presented at 12th International Conference on Distributed Smart Cameras, ICDSC 2018; Eindhoven; Netherlands; 3 September 2018 through 4 September 2018. New York, NY, USA: ACM Digital Library, Article ID Article No. 2.
Öppna denna publikation i ny flik eller fönster >>Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring
2018 (Engelska)Ingår i: ACM International Conference Proceeding Series, New York, NY, USA: ACM Digital Library, 2018, artikel-id Article No. 2Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Volumetric monitoring can be challenging due to having a 3D target space and moving objects within it. Multi camera dome is proposed to provide a hemispherical coverage of the 3D space around it. This paper introduces a method that optimizes multi camera placement for full coverage in volumetric monitoring system. Camera dome placement is modeled in a volume by adapting the hexagonal packing of circles to provide full coverage at a given height, and 100% detection of flying objects within it. The coverage effectiveness of different placement configurations was assessed using an evaluation environment. The proposed placement is applicable in designing and deploying surveillance systems for remote outdoor areas, such as sky monitoring in wind farms and airport runways in order to record and analyze flying activities.

Ort, förlag, år, upplaga, sidor
New York, NY, USA: ACM Digital Library, 2018
Nyckelord
Volumetric surveillance, sky monitoring, camera dome, placement optimization.
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:miun:diva-34589 (URN)10.1145/3243394.3243690 (DOI)000455840700002 ()2-s2.0-85056662761 (Scopus ID)978-1-4503-6511-6 (ISBN)
Konferens
12th International Conference on Distributed Smart Cameras, ICDSC 2018; Eindhoven; Netherlands; 3 September 2018 through 4 September 2018
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2018-10-02 Skapad: 2018-10-02 Senast uppdaterad: 2019-09-09Bibliografiskt granskad
Fedorov, I., Lawal, N., Thörnberg, B., Alqaysi, H. & O'Nils, M. (2018). Towards calibration of outdoor multi-camera visual monitoring system. In: ACM International Conference Proceeding Series: . Paper presented at ICDSC'18 Proceedings of the 12th International Conference on Distributed Smart Cameras, Eindhoven, Netherlands, 3-4 September 2018.. New York, NY, US: ACM Digital Library
Öppna denna publikation i ny flik eller fönster >>Towards calibration of outdoor multi-camera visual monitoring system
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2018 (Engelska)Ingår i: ACM International Conference Proceeding Series, New York, NY, US: ACM Digital Library, 2018, , s. 6Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper proposes a method for calibrating of multi-camera systems where no natural reference points exist in the surrounding environment. Monitoring the air space at wind farms is our test case. The goal is to monitor the trajectories of flying birds to prevent them from colliding with rotor blades. Our camera calibration method is based on the observation of a portable artificial reference marker made out of a pulsed light source and a navigation satellite sensor module. The reference marker can determine and communicate its position in the world coordinate system at centimeter precision using navigartion sensors. Our results showed that simultaneous detection of the same marker in several cameras having overlapping field of views allowed us to determine the markers position in 3D world coordinate space with an accuracy of 3-4 cm. These experiments were made in the volume around a wind turbine at distances from cameras to marker within a range of 70 to 90 m.

Ort, förlag, år, upplaga, sidor
New York, NY, US: ACM Digital Library, 2018. s. 6
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-34643 (URN)10.1145/3243394.3243695 (DOI)000455840700017 ()2-s2.0-85056618979 (Scopus ID)978-1-4503-6511-6 (ISBN)
Konferens
ICDSC'18 Proceedings of the 12th International Conference on Distributed Smart Cameras, Eindhoven, Netherlands, 3-4 September 2018.
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2018-10-05 Skapad: 2018-10-05 Senast uppdaterad: 2019-09-09Bibliografiskt granskad
Alqaysi, H., Lawal, N., Fedorov, I. & O'Nils, M. (2017). Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance. In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras: . Paper presented at The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017 (pp. 49-54). New York, NY, USA: Association for Computing Machinery (ACM), F132201
Öppna denna publikation i ny flik eller fönster >>Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance
2017 (Engelska)Ingår i: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras, New York, NY, USA: Association for Computing Machinery (ACM), 2017, Vol. F132201, s. 49-54Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Multi-camera dome is composed of a number of cameras arranged to monitor a half sphere of the sky. Designing a network of multi-camera domes can be used to monitor flying activities in open large area, such as birds' activities in wind parks. In this paper, we present a method for evaluating the coverage effectiveness of the multi-camera domes placement in such areas. We used GPS trajectories of free flying birds over an area of 9 km2 to analyze coverage effectiveness of randomly placed domes. The analysis is based on three criteria namely, detection, positioning and the maximum resolution captured. The developed method can be used to evaluate results of designing and optimizing dome placement algorithms for volumetric monitoring systems in order to achieve maximum coverage.

Ort, förlag, år, upplaga, sidor
New York, NY, USA: Association for Computing Machinery (ACM), 2017
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-32311 (URN)10.1145/3131885.3131916 (DOI)2-s2.0-85038865753 (Scopus ID)978-1-4503-5487-5 (ISBN)
Konferens
The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2017-12-07 Skapad: 2017-12-07 Senast uppdaterad: 2019-09-09Bibliografiskt granskad
Shallari, I., Imran, M., Lawal, N. & O'Nils, M. (2017). Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera. In: Proceedings of the 11th International Conference on Distributed Smart Cameras: . Paper presented at 11th International Conference on Distributed Smart Cameras, Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017 (pp. 95-100). ACM Digital Library, F132201
Öppna denna publikation i ny flik eller fönster >>Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera
2017 (Engelska)Ingår i: Proceedings of the 11th International Conference on Distributed Smart Cameras, ACM Digital Library, 2017, Vol. F132201, s. 95-100Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Smart camera systems integrating multi-model image sensors provide better spectral sensitivity and hence better pass-fail decisions. In a given vision system, pre-processing tasks have a ripple effect on output data and pass-fail decision of high level tasks such as feature extraction, classification and recognition. In this work, we investigated four pre-processing pipelines and evaluated the effect on classification accuracy and output transmission data. The pre-processing pipelines processed four types of images, thermal grayscale, thermal binary, visual and visual binary. The results show that the pre-processing pipeline, which transmits visual compressed Region of Interest (ROI) images, offers 13 to 64 percent better classification accuracy as compared to thermal grayscale, thermal binary and visual binary. The results show that visual raw and visual compressed ROI with suitable quantization matrix offers similar classification accuracy but visual compressed ROI offers up to 99 percent reduced communication data as compared to visual ROI.

Ort, förlag, år, upplaga, sidor
ACM Digital Library, 2017
Nyckelord
Thermal imaging, FPGA, intelligence partitioning
Nationell ämneskategori
Inbäddad systemteknik
Identifikatorer
urn:nbn:se:miun:diva-32437 (URN)10.1145/3131885.3131908 (DOI)2-s2.0-85038877488 (Scopus ID)978-1-4503-5487-5 (ISBN)
Konferens
11th International Conference on Distributed Smart Cameras, Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Forskningsfinansiär
KK-stiftelsen
Tillgänglig från: 2017-12-13 Skapad: 2017-12-13 Senast uppdaterad: 2019-09-09Bibliografiskt granskad
Fedorov, I., Lawal, N., O'Nils, M. & Alqaysi, H. (2017). Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring. In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras: . Paper presented at The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University Stanford; United States; 5 September 2017 through 7 September 2017 (pp. 113-118). New York, NY, USA: Association for Computing Machinery (ACM), F132201
Öppna denna publikation i ny flik eller fönster >>Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring
2017 (Engelska)Ingår i: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras, New York, NY, USA: Association for Computing Machinery (ACM), 2017, Vol. F132201, s. 113-118Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The design of multi-camera surveillance system comes with many advantages, for example it facilitates as understanding how flying objects act in a given volume. One possible application is for the observation interaction of birds and calculate their trajectories around wind turbines to create promising systems for preventing bird collisions with turbine blades. However, there are also challenges, such as finding the optimal node placement and camera calibration. To address these challenges we investigated a trade-off between calibration accuracy and node requirements, including resolution, modulation transfer function, field of view and angle baseline. We developed a strategy for camera placement to achieve improved coverage for golden eagle monitoring and tracking. This strategy based on the modified resolution criterion taking into account the contrast function of the camera and the estimation of the base angle between the cameras.

Ort, förlag, år, upplaga, sidor
New York, NY, USA: Association for Computing Machinery (ACM), 2017
Nyckelord
Multi-camera, outdoor monitoring, placement, camera calibration
Nationell ämneskategori
Datorsystem Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-32726 (URN)10.1145/3131885.3131911 (DOI)2-s2.0-85038856097 (Scopus ID)978-1-4503-5487-5 (ISBN)
Konferens
The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University Stanford; United States; 5 September 2017 through 7 September 2017
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Tillgänglig från: 2018-01-23 Skapad: 2018-01-23 Senast uppdaterad: 2019-09-09Bibliografiskt granskad
Lawal, N., O'Nils, M. & Imran, M. (2016). Design exploration of a multi-camera dome for sky monitoring. In: ACM International Conference Proceeding Series: . Paper presented at 10th International Conference on Distributed Smart Cameras, ICDSC 2016, 12 September 2016 through 15 September 2016 (pp. 14-18). Association for Computing Machinery (ACM), 12-15-September-2016, Article ID 2967419.
Öppna denna publikation i ny flik eller fönster >>Design exploration of a multi-camera dome for sky monitoring
2016 (Engelska)Ingår i: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2016, Vol. 12-15-September-2016, s. 14-18, artikel-id 2967419Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Sky monitoring has many applications but also many challenges to be addressed before it can be realized. Some of the challenges are cost, energy consumption and complex deployment. One way to address these challenges is to compose a camera dome by grouping cameras that monitor a half sphere of the sky. In this paper, we present a model for design exploration that investigates how characteristics of camera chips and objective lenses affect the overall cost of a node of a camera dome. The investigation showed that by accepting more cameras in a single node can result in a reduced total cost of the system. This concludes that by using suitable design and camera placement technique, a cost-effective solution can be proposed for massive open-area i.e. sky monitoring.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM), 2016
Nyckelord
Design exploration, Distributed smart cameras, Sky monitoring, Volumetric surveillance
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-29141 (URN)10.1145/2967413.2967419 (DOI)2-s2.0-84989322238 (Scopus ID)STC (Lokalt ID)9781450347860 (ISBN)STC (Arkivnummer)STC (OAI)
Konferens
10th International Conference on Distributed Smart Cameras, ICDSC 2016, 12 September 2016 through 15 September 2016
Projekt
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Anmärkning

Conference Paper

Tillgänglig från: 2016-10-27 Skapad: 2016-10-27 Senast uppdaterad: 2019-09-09Bibliografiskt granskad
Imran, M., Wang, X., Lawal, N. & O'Nils, M. (2016). Pre-processing Architecture for IR-Visual Smart Camera Based on Post-Processing Constraints. In: : . Paper presented at 15th International Workshop on Cellular Nanoscale Networks and their Applications, Dresden, Germany, August 23-25, 2016. IEEE
Öppna denna publikation i ny flik eller fönster >>Pre-processing Architecture for IR-Visual Smart Camera Based on Post-Processing Constraints
2016 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In embedded vision systems, the efficiency of pre-processing architectures have a ripple effect on post-processing functions such as feature extraction, classification and recognition. In this work, we investigated a pre-processing architecture for smart camera system, integrating a thermal and vision sensors, by considering the constraints of post-processing. By utilizing the locality feature of the system, we performed pre-processing on the camera node by using FPGA and post-processing on the client device by using the microprocessor platform, NVIDIA Tegra. The study shows that for outdoor people surveillance applications with complex background and varying lighting conditions, the pre-processing architecture, which transmits thermal binary Region-of-Interest (ROI) images, offers better classification accuracy and smaller complexity as compared to alternative approaches.

Ort, förlag, år, upplaga, sidor
IEEE, 2016
Nyckelord
Wireless smart camera, Infrared, Thermal, Pre-processing, Architecture, Post-processing
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:miun:diva-27371 (URN)STC (Lokalt ID)STC (Arkivnummer)STC (OAI)
Konferens
15th International Workshop on Cellular Nanoscale Networks and their Applications, Dresden, Germany, August 23-25, 2016
Forskningsfinansiär
KK-stiftelsen
Tillgänglig från: 2016-04-11 Skapad: 2016-04-11 Senast uppdaterad: 2017-06-30Bibliografiskt granskad
Lawal, N., Lateef, F. & Usman, M. (2015). Power Consumption Measurement & Configuration Time of FPGA. In: 2015 POWER GENERATION SYSTEMS AND RENEWABLE ENERGY TECHNOLOGIES (PGSRET-2015): . Paper presented at Conference Power Generation System and Renewable Energy Technologies (PGSRET), Islamabad, PAKISTAN, JUN 10-11, 2015 (pp. 63-67). , Article ID 7312250.
Öppna denna publikation i ny flik eller fönster >>Power Consumption Measurement & Configuration Time of FPGA
2015 (Engelska)Ingår i: 2015 POWER GENERATION SYSTEMS AND RENEWABLE ENERGY TECHNOLOGIES (PGSRET-2015), 2015, s. 63-67, artikel-id 7312250Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In this paper, we presents results concerning power consumption and configuration time for FPGA. FPGAs re-programmability, flexibility and re-configurability give rise to number of possibilities like adding more and more features, increasing lifetime duration to embedded systems. Power consumption of the peripheral devices is also meaningfully affects by Time behavior. Estimation based on average activity may not being useful for accurate power estimation of system. The configuration time of FPGA depend on configuration data width, size file, clock frequency and flash time access. We measured the total power consumption on each voltage supply and the total configuration time of Spartan-6 FPGA Atlys board using LabVIEW. Comparison had been made between estimated power value and measured power value. Hence, we believe that our experiment results will be useful to other FPGA-based embedded systems.

Nyckelord
Power measuring; FPGA; configuration time
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
urn:nbn:se:miun:diva-29741 (URN)10.1109/PGSRET.2015.7312250 (DOI)000380412300071 ()2-s2.0-84962359283 (Scopus ID)978-1-4673-6813-1 (ISBN)978-1-4673-6812-4 (ISBN)
Konferens
Conference Power Generation System and Renewable Energy Technologies (PGSRET), Islamabad, PAKISTAN, JUN 10-11, 2015
Anmärkning

Power Generation System and Renewable Energy Technologies (PGSRET), Islamabad, PAKISTAN, JUN 10-11, 2015

Tillgänglig från: 2016-12-21 Skapad: 2016-12-21 Senast uppdaterad: 2017-07-04Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-3429-273X

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