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A Modular FPGA-Based Smart Camera Architecture Merwan Birem, François Berry
DreamCam: A modular FPGA-based smart camera architecture Merwan Birem, François Berry To cite this version: Merwan Birem, François Berry. DreamCam: A modular FPGA-based smart camera architecture. Journal of Systems Architecture, Elsevier, 2014, 60 (6), pp.519 - 527. 10.1016/j.sysarc.2014.01.006. hal-01625648 HAL Id: hal-01625648 https://hal.archives-ouvertes.fr/hal-01625648 Submitted on 28 Oct 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Journal of Systems Architecture 60 (2014) 519–527 Contents lists available at ScienceDirect Journal of Systems Architecture journal homepage: www.elsevier.com/locate/sysarc DreamCam: A modular FPGA-based smart camera architecture ⇑ Merwan Birem , François Berry Institut Pascal – UMR 6602 UBP/CNRS – Campus des Cézeaux, 24 Avenue des Landais, 63177 Aubiere Cedex, France article info abstract Article history: DreamCam is a modular smart camera constructed with the use of an FPGA like main processing board. Received 9 July 2012 The core of the camera is an Altera Cyclone-III associated with a CMOS imager and six private Ram blocks. Received in revised form 9 October 2013 The main novel feature of our work consists in proposing a new smart camera architecture and several Accepted 21 January 2014 modules (IP) to efficiently extract and sort the visual features in real time. -
BOLOGNA, ITALY, JUNE 23/26, 2014 FINAL PROGRAM Technically Co
BOLOGNA, ITALY, JUNE 23/26, 2014 FINAL PROGRAM Technically Co-Sponsored by the IEEE Communications Society 2014 NICATIONS B B O O 5 5 R L 0 R L 0 O O O O s s G O e G O e N a M N a M t A t s A s 2 1 23 JUNE 2014 1 S 4 G R 0 A O L s O I e L a M E t s I ON NETWOKS AND COMMU FL OOR PLA N EUROPEAN CONFERENCE ROOM DA VINCI 20 seats R O O 8 M 0 s M e a E t U s C C I M 5 A R 0 R O C s O O e a M N t I s 1 M 5 A R 0 R O C s O O e a M N t I s 2 2014 R O 3 O 0 M 0 s I e T a A t L s I NICATIONS A R 5 O 3 O 0 / M 8 5 E 0 U s R e O a P t s A 2 ON NETWOKS AND COMMU EUROPEAN CONFERENCE 2014 NICATIONS 26 JUNE B 1 - O 5 R 0 L O O s 25 O e G M - a N t A s 3 4 G R 0 A O L s O I e L a M E ON NETWOKS AND COMMU t s I FLOOR PLANS 24 EUROPEAN CONFERENCE ROOM DA VINCI 20 seats R O O 8 M 0 s M e a E t U s C C I R O O 1 M 2 0 M s A e R a t C s O N I 2014 R O 3 O 0 M 0 s I e T a A t L s I A NICATIONS R 5 3 O 0 O / 8 M 5 0 E 0 U R s O e a P t A s 4 ON NETWOKS AND COMMU EUROPEAN CONFERENCE EUROPEAN CONFERENCE ON NETWOKS AND COMMU NICATIONS 2014 Program SCHEDULE AT A GLANCE Monday 23 June Foyer Italia Bologna1 Bologna2 Marconi1 Marconi2 Meucci Da Vinci Galilei 08:00/09:00 W4 - W5 - Mobile W3 - A Global W6 - Test beds W7 - Fixed- Management of W8 - Advances in T1 - Indoor Cloud Perspective […] W2 - Enablers on for the Networks Mobile 09:00/10:40 Large Scale Wireless Body localization Infrastructures for Shaping the the road to 5G & Convergent Virtualized Area Networks and tracking and Services 5G Era Communications Networks Infrastructures 10:40/11:10 Coffee (Foyer Europa -
Smart Camera System CMOS Image Sensor and Imaging Processor for ADAS
Smart camera system CMOS image sensor and imaging processor for ADAS ST’s new camera-based advanced driver assistance system helps customers develop secure and high quality automotive applications This smart camera system KEY BENEFITS consists of a VG6640 high- • Front-side Illuminated technology with TARGET APPLICATIONS performance 1.3-megapixel HDR 3.75 micron pixel size • Automotive image sensor and a versatile • Outstanding dynamic range of 132 dB • Ethernet rear-view camera STV0991 system-on-chip with • Smart rear-view camera • Best-in-class low-light signal-to-noise ratio advanced and instant HDR • Surround-view camera • LED flicker mitigation image signal processing. • Traffic Alert camera It’s a perfect solution for a • Self-contained, HDR image processor • Virtual mirror replacement compact, low component count • ARM® Cortex®-R4 core @ 500 MHz • In-cabin camera and low energy-consuming • 2-Mbyte SRAM and 2-Mbyte Flash • Consumer/Security camera system for automotive memory • IP and Skype camera • Drone camera and security applications. • MIPI and Parallel In and Out interfaces • Surveillance and intruder alarm • Dedicated hardware engines for video camera analytics (optical flow, edge detection) and • Building management smart geometrical lens correction camera • Graphics overlay with transparency • Wearable AV recorder • H.264 I/P encoder and JPEG 8/12-bit video compression with no DRAM • Fail-safe strategy support (ISO 26262) • AEC-Q100 Grade 2 qualified www.st.com SYSTEM DESCRIPTION The VG6640 image sensor offers an outstanding dynamic range of 132 dB, the highest on the market, thanks to its HDR pixel architecture. The sensor proposes various configuration modes that make this camera perfect for any tricky lighting environment. -
Smart Video Surveillance Systems Are Capable of Enhancing Situational Awareness Across Multiple Scales of Space and Time
[Arun Hampapur, Lisa Brown, Jonathan Connell, Ahmet Ekin, Norman Haas, Max Lu, Hans Merkl, Sharath Pankanti, Andrew Senior, Chiao-Fe Shu, and Ying Li Tian] Smart Video © EYEWIRE Surveillance [Exploring the concept of multiscale spatiotemporal tracking] ituation awareness is the key to security. Awareness requires information that spans multiple scales of space and time. A security analyst needs to keep track of “who are the people and vehicles in a space?” (identity tracking), “where are the people in a space?” (location tracking), and “what are the people/vehicles/objects in a space doing?” (activity tracking). The analyst also needs to use his- torical context to interpret this data. For example, the fact that the paper delivery truck showed up Sat 6 a.m. instead of the usual 8 a.m. would alert a security analyst. Smart video surveillance systems are capable of enhancing situational awareness across multiple scales of space and time. However, at the present time, the component technologies are evolving in isolation; for exam- ple, face recognition technology addresses the identity tracking challenge while constraining the subject to be in front of the camera, and intelligent video surveillance technologies provide activity detection capabilities on video streams while ignoring the identity tracking challenge. To provide comprehensive, nonintrusive situation awareness, it is imperative to address the challenge of multiscale, spatiotemporal tracking. This article explores the concepts of multiscale spatiotemporal tracking through the use of real-time video analysis, active cameras, multiple object models, and long-term pattern analysis to provide comprehensive situation awareness. INTRODUCTION Ensuring high levels of security at public access facilities like airports and seaports is an extremely complex challenge. -
STEFANO MATTOCCIA Associate Professor
STEFANO MATTOCCIA Associate Professor, PhD Department of Computer Science and Engineering (DISI) School of Engineering and Architecture, University of Bologna Tel: +39 051 2093860, Fax: +39 051 2093869 Email: [email protected] Home page: http://www.vision.disi.unibo.it/smatt Google Scholar: https://scholar.google.com/citations?user=P954CG8AAAAJ&hl=en EDUCATION ● PhD in Computer Science Engineering, University of Bologna (2002) ● M.S. in Electronic Engineering, University of Bologna (1997) ACADEMIC POSITIONS ● Associate Professor, with scientific habilitation 09/H1 for the role of full professor, Department of Computer Science and Engineering, University of Bologna (Oct. 2015 – present) ● Assistant Professor, Department of Computer Science and Engineering, University of Bologna (Jan. 2004 – Sep. 2015) ● Postdoc Researcher, Department of Computer Science and Engineering, University of Bologna (Feb. 2002 – Dec. 2003) RESEARCH INTERESTS ● Computer vision ● 3D vision ● Machine-learning/deep-learning ● Depth and scene perception from stereo and monocular image ● Domain adaptation ● Embedded computer vision ● Depth sensors fusion RESEARCH GROUP I’m leading a research group, mostly focused on learning-based techniques for depth perception and other cues from images. Members: ● Dr Matteo Poggi, Postdoc researcher ● Fabio Tosi, 3nd year PhD student ● Filippo Aleotti, 3nd year PhD student ● Youmin Zhang, 1st year PhD student awarded with a grant from the China Scholarship Council ● Fan Rizhao, 1st year PhD student awarded with a grant from the China Scholarship Council ● Andrea Conti, Research Fellow/PhD student (Nov 1st 2021) ● Huan Li PhD student (Nov 1st 2021) ● Alessio Mingozzi, Research Fellow Supervised visiting PhD students from China, awarded with a grant from the China Scholarship Council (CSC): ● Chaoqiang Zhao, from East China University of Science and Technology, Shanghai (Oct. -
Wireless Embedded Smart Cameras: Performance Analysis and Their Application to Fall Detection for Eldercare
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Theses, Dissertations, and Student Research Electrical & Computer Engineering, Department from Electrical & Computer Engineering of Summer 7-28-2011 Wireless Embedded Smart Cameras: Performance Analysis and their Application to Fall Detection for Eldercare. Alvaro Pinto University of Nebraska - Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/elecengtheses Part of the Digital Communications and Networking Commons, Electrical and Electronics Commons, Other Electrical and Computer Engineering Commons, and the VLSI and Circuits, Embedded and Hardware Systems Commons Pinto, Alvaro, "Wireless Embedded Smart Cameras: Performance Analysis and their Application to Fall Detection for Eldercare." (2011). Theses, Dissertations, and Student Research from Electrical & Computer Engineering. 22. https://digitalcommons.unl.edu/elecengtheses/22 This Article is brought to you for free and open access by the Electrical & Computer Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Theses, Dissertations, and Student Research from Electrical & Computer Engineering by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. WIRELESS EMBEDDED SMART CAMERAS: PERFORMANCE ANALYSIS AND THEIR APPLICATION TO FALL DETECTION FOR ELDERCARE by Alvaro Pinto A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfilment of Requirements -
A High Resolution Smart Camera with Gige Vision Extension for Surveillance Applications
A HIGH RESOLUTION SMART CAMERA WITH GIGE VISION EXTENSION FOR SURVEILLANCE APPLICATIONS E. Norouznezhad, A. Bigdeli, A. Postula and B. C. Lovell ITEE, The University of Queensland, Brisbane, QLD 4072, Australia NICTA, 300 Adelaide Street, Brisbane, QLD 4000, Australia ABSTRACT Therefore there is strong interest in reducing the role of humans in video surveillance systems and using humans Intelligent video surveillance is currently a hot topic in only when it is required. Intelligent video surveillance computer vision research. The goal of intelligent video systems enhance efficiency and security levels by means of surveillance is to process the captured video from the using machines instead of humans to monitor the monitored area, extract specific information and take surveillance areas. The goal of intelligent video surveillance appropriate action based on that information. Due to the systems is to analyse the captured video by machine, extract high computational complexity of vision tasks and the real- specific information and take appropriate action based on time nature of these systems, current software-based that information [3, 4]. intelligent video surveillance systems are unable to perform Currently intelligent video surveillance systems use sophisticated operations. Smart cameras are a key traditional cameras. In these systems, the video streams from component for future intelligent surveillance systems. They all the cameras are directed to the central processing units use embedded processing to offload computationally and the central processing units should process all the intensive vision tasks from the host processing computers received video. Therefore the whole processing load is and increasingly reduce the required communication borne by the host computers. -
Solution Guide DATALOGIC: a BUSINESS BUILT on INNOVATION
AUTOMOTIVE Solution Guide DATALOGIC: A BUSINESS BUILT ON INNOVATION We use barcodes on a daily basis, in dozens of activities: sending a package or a certified letter; putting our luggage on the conveyor belt of an airport; making a purchase in a shop, in a pharmacy or in a supermarket; when we go for a blood test or if we are hospitalized. The use of barcodes is also widespread in major factory production processes: from the warehouse to production, to the movement of goods, along the entire value chain. Datalogic began its entrepreneurial adventure in 1972, when Dr. Romano Volta started developing and producing optical-electronic control appliances for the packaging, textile and ceramics sectors. Romano Volta sensed the revolutionary scope of the bar code and started developing a manual reader able to read it, combining electronics, mechanics, optics and information technology. In 1974 Datalogic brought this technology into the Retail world, in a supermarket in Troy, Ohio and then applied it to the whole industrial world, giving life to the only true Bar Code Company at a global level. Today, Datalogic is a global leader in the automatic data capture and process automation markets, specialized in the designing and production of: bar code readers; mobile computers; sensors for detection, measurement and safety; RFID, vision and laser marking systems. Datalogic solutions help to increase the efficiency and quality of processes in the Retail, Manufacturing, Transportation & Logistics and Healthcare industries, along the entire value chain. The world’s leading players in the four reference industries use Datalogic products, certain of the attention to the customer and of the quality of the products that the Group has been offering for over 47 years. -
Consolidated Non-Financial Statement
Consolidated non-financial statement CONTENTS Letter to Stakeholders 4 A year of sustainability 6 1. Our Group, history and vision 9 1.1. Our History 13 1.2. Products and applications 14 2. A robust organisational structure for responsible company management 21 2.1. Group Structure 23 2.2. Corporate Governance 24 2.3. Management Systems and ISO standards 26 2.4. Integrated risk management 27 2.5. Business conduct integrity 31 3. Innovative products in line with our customers' requirements 33 3.1. Disruptive innovation 35 3.2. Investments in innovation and R&D 38 3.3. Partnerships with Research Institutes 39 3.4. Quality and Safety of Products 40 3.5. Customer centricity 41 4. The Datalogic personnel 45 4.1. Our Group Human Capital 46 4.2. Talent enhancement 50 4.3. Skills development and professional growth 52 4.4. Worker health and safety 55 5. Strategic supply chain management 59 5.1. Our suppliers 60 6. Commitment to the environment 65 6.1. Environmental protection guaranteed by Datalogic 67 6.2. Energy consumption and emissions 68 More information 70 Methodological note 80 GRI Content Index 86 Consolidated non-financial statement 3 LETTER TO STAKEHOLDERS Dear readers, I am pleased to present to you, in its third edition, the reliability of the information provided to the Datalogic’s Consolidated Non-Financial Statement. corporate bodies and the market, compliance with This document gives us an opportunity to report the laws and regulations, and the ongoing pursuit our endeavours in the field of sustainability, carried of sustainability. out during 2019. -
Datalogic Italy | Capital Goods
1 October 2013 Company update Datalogic Italy | Capital goods Target price Current price Enrico Coco [email protected] (Buy) EUR 8.00 EUR 6.95 Buy +39 02 8550 7227 Well placed to grab growth opportunities Reuters DAL.MI Bloomberg DAL IM Following the presentation of its 2013-15 business plan, we confirm our Index DJ Stoxx 600 positive stance and EUR8.0 TP. We think the current price does not Market data adequately capture the group’s strong positioning and growth prospects. Market cap (EURm) 406 Buy. Free float 22% No. of shares outstanding (m) 58 Strategic guidelines of the 2013-15 plan Avg. daily trading volume('000) 16 YTD abs performance 5.2% Datalogic’s 2013-15 business plan has a rolling structure that extends the 52-week high (EUR) 7.09 time horizon to 2015 and factors in a worse market environment than the 52-week low (EUR) 5.56 scenario assumed last year. The main difference compared with the strategic guidelines of the earlier plan is the reduced focus on cost/ 8.0 efficiency issues and the increased emphasis on technological innovation 7.5 (focus on vision and imaging technology, higher R&D budget) and human resources. We think growth opportunities are significant, and the higher 7.0 focus on R&D and product innovation should protect the company’s long- term competitive positioning, hence creating value for shareholders. 6.5 Growth drivers 6.0 We think the group will benefit from the transition to data-rich barcodes 5.5 and the integration of vision technology, leveraging its leadership in POS Sep 12 Dec 12 Mar 13 Jun 13 Sep 13 Price DJ Stoxx 600 (rebased) checkout and industrial stationery scanners, while its low penetration of FY to 31/12 (EUR) 2013E 2014E 2015E emerging markets should support growth outperformance versus the Sales (m) 463.6 511.4 547.8 industry. -
ANNOUNCES the ACQUISITION of DATASENSOR Spa, a COMPANY ACTIVE in the SECTOR of PHOTOELECTRIC SENSORS and DEVICES
Press Release PRESS RELEASE DATALOGIC (Star: DAL.MI) ANNOUNCES THE ACQUISITION OF DATASENSOR SpA, A COMPANY ACTIVE IN THE SECTOR OF PHOTOELECTRIC SENSORS AND DEVICES. Bologna, 3rd October - Datalogic SpA – a company listed in the Star segment of the Milan Stock Exchange and a leader in the market for barcode readers, data collection mobile computers and RFID (radio frequency identification) systems – approved today the acquisition of DATASENSOR SpA (a company 100% owned by Hydra SpA, controlling shareholder of Datalogic SpA). The deal is of great industrial value as it will allow both the Datalogic Group and Datasensor to consolidate their respective market positions in the industrial automation sector. As the deal is between related parties, this press release has been prepared also in compliance with Article 71- bis of the Regulation implementing Italian Legislative Decree no. 58 of 24 February 1998 (the Italian Consolidated Law on Finance) which governs issuers, approved by the CONSOB (Italian securities & exchange commission) with its resolution no. 11971 of 14 May 1999 as subsequently amended and integrated. 1. CHARACTERISTICS, APPROACH, TERMS AND CONDITIONS OF DEAL The object of the deal is the transfer of shares representing 100% of the share capital of Datasensor SpA from Hydra SpA to Datalogic Automation Srl, a company directly and wholly owned by the Issuer. In this regard please note that the investment contract was signed today and, at the same time, were transferred 100% of shares of Datasensor SpA to Datalogic Group. Datalogic -
Datalogic R&D
Founded by Dr. Romano Volta in 1972, Datalogic is a global leader in the automatic data capture and process automation markets, specialized in the design and production of bar code readers, mobile computers, sensors for detection, measurement and safety, RFID vision and laser marking systems. Datalogic Dr. Romano Volta solutions help to increase Executive Chairman the efficiency and quality of processes in the Retail, Manufacturing, Transportation & Logistics and Healthcare industries, along the entire value chain. The world's leading players in the four reference industries use Datalogic products, certain of the attention to the customer and of the quality of the products that the Group has been offering for 45 years. Today Datalogic Group, headquartered in Bologna (Italy), employs approximately 3.000 staff worldwide, distributed in 30 countries, with manufacturing and repair facilities in the USA, Brazil, Italy, Slovakia, Hungary and Vietnam. In 2017 Datalogic had a turnover of 606 million Euros and invested over 55 million Euros in Research & Development, with an asset of more than 1.200 patents in multiple jurisdictions. Datalogic S.p.A. is listed in the STAR segment of the Italian Stock Exchange since 2001 as DAL.MI. 3.000 employees, in 30 countries 600 engineers engaged in R&D Over 1.200 patents 11 research and development centers in Italy, Germany, USA, China and Vietnam Almost 10 % of revenues invested in R&D Manufacturing and Repair Facilities in Hungary, Slovakia, Italy, Usa, Vietnam and Brazil Worldwide technical assistance