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  • Ashwin Joseph and Christina Kuriakose
  • October 27, 2021

Light-weight People Detection on Microcontrollers using Custom Neural Networks

AI-driven computer vision systems are increasingly becoming a part of our day to day life across industrial and consumer applications. Deployment of Machine Learning (ML) models on Edge devices is also gaining traction due to the advantages of improved performance and data security as data is not sent over to the cloud for processing.

While most classical People Detection implementations use Application Processors or GPU devices for compute, there are highly cost-sensitive applications where there is a need to achieve similar functionality on low cost micro-controller (MCU) devices. One such use case is where an office appliance (eg. a printer, scanner, copier) wakes up from power-saving mode and preps itself for operation as people approach it.  

In this blog, we describe Ignitarium’s Light-weight People Detection application that is part of our FLK-i Video Analytics platform. The ML-based application analyzes video footage captured by a low resolution RGB camera attached to the appliance and identifies the presence and approach of humans from within a 3 meter radius.

There are numerous methods for People Detection ranging from classical Computer Vision techniques to Deep Learning based approaches. These include Haar Cascades available in OpenCV library to SSD Mobilenet, Posenet, Openpose, Openpifpaf etc. A few good resources to learn more about these methods are included at the end of this blog.  But, keeping in mind the RAM, Flash and compute constraints we had on our target MCU, we developed our own Custom Neural Network that was light enough. The subsequent sections describe our development approach.

Dataset Preparation

A large corpus of humans-in-frame data was collected from various sources – open source databases as well as via data collection exercises using the specific camera that was to be used in the target electronic appliance. Care was taken to collect data from all possible approach angles within the targeted camera Field-of-View (FoV). The collected data was carefully segregated using a combination of image processing-based and manual binning.

Labelling

The cleaned dataset was labelled by our data labelling team using standard annotation frameworks.

Fine Tuning the model

We built a custom lightweight neural network that could accurately detect if the person in the frame is near or far away. 

The most challenging task was to build a Custom Neural Network that would operate within our stringent CPU frequency and RAM footprint budget. The following were several of the CNN network configurations we explored before we froze on the final model:

  1. Determining the ideal input image dimension – this required getting the tradeoff right so as to not lose spatial information and at the same time reduce the RAM consumed by the layers
  2. Exploring different color scales
  3. Determining the kernel size and fine-tuning the number of filters to be used as input for the convolutional layers
  4. Improving the model by visualizing the intermediary layer outputs
  5. Determining the number of repetitive blocks to re-use

Deployment on to hardware device

Once the model was ready and validated for accuracy, the next step was to deploy it on the target hardware : the Renesas Rx 64M MCU class device operating at a maximum frequency of 120 MHz and with SRAM of 512 Kbytes.   The TensorFlow model was translated into C using a combination of the vendor supplied toolkit and manual scripts that we developed to implement custom layers and operators.

The output from the camera is transferred to the MCU using a parallel data capture (PDC) protocol and the YUV input pixels are converted to RGB format. The RGB image is then provided to our Person Detection Neural Network algorithm.

The camera output and the result of the people detection are visualized via a web page. In actual application scenarios, the detection results will trigger wake-up signals over GPIO. 

Application Snapshots

Screenshot of the application that shows person is detected

Screenshot of the application when no person has been detected

Result

We were able to generate a custom machine learning model with a memory footprint of less than 200KB (uint8) that could accurately classify if a person was present in the nearby vicinity or not.

Metrics

The uint8 model took about 513 milliseconds (~2fps) to process an image. 

The entire application including the image buffer, pre-processing and GUI component consumed a footprint of ~800KB. Since the device had only around 500KB of usable SRAM, the code was modularized carefully into persistent and non-persistent segments with the non-persistent sections of code dynamically loaded from ROM.

Conclusion

Lightweight Neural Network-based models can be effectively deployed on low-cost micro-controller devices to address a host of consumer appliances and industrial applications that call for the detection of people approaching them.

Resources

The following links would be helpful in learning more about some of them:

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    Prior to founding Ignitarium in 2012, Sanjay spent the initial 22 years of his career with the VLSI and Systems Business unit at Wipro Technologies. In his formative years, Sanjay worked in diverse engineering roles in Electronic hardware design, ASIC design, and custom library development. Sanjay later handled a flagship – multi-million dollar, 600-engineer strong – Semiconductor & Embedded account owning complete Delivery and Business responsibility.

     

    Sanjay graduated in Electronics and Communication Engineering from College of Engineering, Trivandrum, and has a Postgraduate degree in Microelectronics from BITS Pilani.

     

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      Prior to Insta, Ramesh had a 25-year-long career at Wipro Technologies where he was the President of the $1B Telecom and Product Engineering Solutions business heading a team of 19,000 people with a truly global operations footprint. Among his other key roles at Wipro, he was a member of Wipro's Corporate Executive Council and was Chief Technology Officer.

       

      Ramesh is also an Independent Board Member of eMIDs Technologies, a $100M IT services company focused on the healthcare vertical with market presence in the US and India.

       

      Ramesh holds an M-Tech in Computer Science from IIT-Kanpur.

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      An XLRI alumnus, Manoj divides his time between Pune and Bangalore.

       

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      A professional with a 14-year track record in technology marketing, Malavika heads marketing in Ignitarium. Responsible for all branding, positioning and promotional initiatives in the company, she has collaborated with technical and business teams to further strengthen Ignitarium's positioning as a key E R&D services player in the ecosystem.

      Prior to Ignitarium, Malavika has worked in with multiple global tech startups and IT consulting companies as a marketing consultant. Earlier, she headed marketing for the Semiconductor & Systems BU at Wipro Technologies and worked at IBM in their application software division.

      Malavika completed her MBA in Marketing from SCMHRD, Pune, and holds a B.E. degree in Telecommunications from RVCE, Bengaluru.

       

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      Pradeep comes with an overall experience of 26 years across IT services and Academia. In his previous role at Virtusa, he played the role of Delivery Leader for the Middle East geography. He has handled complex delivery projects including the transition of large engagements, account management, and setting up new delivery centers.

      Pradeep graduated in Industrial Engineering and Management, went on to secure an MBA from CUSAT, and cleared UGN Net in Management. He also had teaching stints at his alma mater, CUSAT, and other management institutes like DCSMAT. A certified P3O (Portfolio, Program & Project Management) from the Office of Government Commerce, UK, Pradeep has been recognized for key contributions in the Management domain, at his previous organizations, Wipro & Virtusa.

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      Prior to Ignitarium, Sona has had held diverse HR responsibilities at Litmus7, Cognizant and Wipro.

       

      Sona graduated in Commerce from St. Xaviers College and did her MBA in HR from PSG College of Technology.

       

      ASHWIN RAMACHANDRAN

      Vice President - Sales

      As VP of Sales, Ashwin is responsible for Ignitarium’s go-to-market strategy, business, client relationships, and customer success in the Americas. He brings in over a couple of decades of experience, mainly in the product engineering space with customers from a wide spectrum of industries, especially in the Hi-Tech/semiconductor and telecom verticals.

       

      Ashwin has worked with the likes of Wipro, GlobalLogic, and Mastek, wherein unconventional and creative business models were used to bring in non-linear revenue. He has strategically diversified, de-risked, and grown his portfolios during his sales career.

       

      Ashwin strongly believes in the customer-first approach and works to add value and enhance the experiences of our customers.

       

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      Vice President – Sales & Business Development

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      At Wipro, he was involved in customer engagement with global customers in APAC and US.

       

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      At Ignitarium, he was previously part of the sales and marketing team with a special focus on generating a sales pipeline for Vision Intelligence products and services, working with worldwide field sales & partner ecosystems in the U.S  Europe, and APAC.

      Prior to joining Ignitarium in 2017, Pradeep was Senior Solutions Architect at Open-Silicon, an ASIC design house. At Open-Silicon, where he spent a good five years, Pradeep was responsible for Front-end, FPGA, and embedded SW business development, marketing & technical sales and also drove the IoT R&D roadmap. Pradeep started his professional career in 2000 at Sasken, where he worked for 11 years, primarily as an embedded multimedia expert, and then went on to lead the Multimedia software IP team.

      Pradeep is a graduate in Electronics & Communication from RVCE, Bangalore.

       

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      SUJEET SREENIVASAN

      Senior Vice President – Automotive Technology

       

      Sujeet is responsible for driving innovation in Automotive software, identifying Automotive technology trends and advancements, evaluating their potential impact, and development of solutions to meet the needs of our Automotive customers.

      At Ignitarium, he was previously responsible for the growth and P&L of the Embedded Business unit focusing on Multimedia, Automotive, and Platform software.

      Prior to joining Ignitarium in 2016, Sujeet has had a career spanning more than 16 years at Wipro. During this stint, he has played diverse roles from Solution Architect to Presales Lead covering various domains. His technical expertise lies in the areas of Telecom, Embedded Systems, Wireless, Networking, SoC modeling, and Automotive. He has been honored as a Distinguished Member of the Technical Staff at Wipro and has multiple patents granted in the areas of Networking and IoT Security.

      Sujeet holds a degree in Computer Science from Government Engineering College, Thrissur.

       

      RAJIN RAVIMONY Distinguished Engineer

      RAJIN RAVIMONY

      Distinguished Engineer

       

      At Ignitarium, Rajin plays the role of Distinguished Engineer for complex SoCs and systems. He's an expert in ARM-based designs having architected more than a dozen SoCs and played hands-on design roles in several tens more. His core areas of specialization include security and functional safety architecture (IEC61508 and ISO26262) of automotive systems, RTL implementation of math intensive signal processing blocks as well as design of video processing and related multimedia blocks.

       

      Prior to Ignitarium, Rajin worked at Wipro Technologies for 14 years where he held roles of architect and consultant for several VLSI designs in the automotive and consumer domains.

       

      Rajin holds an MS in Micro-electronics from BITS Pilani.

       

      SIBY ABRAHAM Executive Vice President, Strategy

      SIBY ABRAHAM

      Executive Vice President, Strategy

       

      As EVP, of Strategy at Ignitarium, Siby anchors multiple functions spanning investor community relations, business growth, technology initiatives as well and operational excellence.

       

      Siby has over 31 years of experience in the semiconductor industry. In his last role at Wipro Technologies, he headed the Semiconductor Industry Practice Group where he was responsible for business growth and engineering delivery for all of Wipro’s semiconductor customers. Prior to that, he held a vast array of crucial roles at Wipro including Chief Technologist & Vice President, CTO Office, Global Delivery Head for Product Engineering Services, Business Head of Semiconductor & Consumer Electronics, and Head of Unified Competency Framework. He was instrumental in growing Wipro’s semiconductor business to over $100 million within 5 years and turning around its Consumer Electronics business in less than 2 years. In addition, he was the Engineering Manager for Enthink Inc., a semiconductor IP-focused subsidiary of Wipro. Prior to that, Siby was the Technical Lead for several of the most prestigious system engineering projects executed by Wipro R&D.

       

      Siby has held a host of deeply impactful positions, which included representing Wipro in various World Economic Forum working groups on Industrial IOT and as a member of IEEE’s IOT Steering Committee.

       

      He completed his MTech. in Electrical Engineering (Information and Control) from IIT, Kanpur and his BTech. from NIT, Calicut

       

      SUDIP NANDY

      Board Member

       

      An accomplished leader with over 40 years of experience, Sudip has helped build and grow companies in India, the US and the UK.

      He has held the post of Independent Director and Board Member for several organizations like Redington Limited, Excelra, Artison Agrotech, GeBBS Healthcare Solutions, Liquid Hub Inc. and ResultsCX.

      Most recently, Sudip was a Senior Advisor at ChrysCapital, a private equity firm where he has also been the Managing Director and Operating Partner for IT for the past 5 years. During his tenure, he has been Executive Chairman of California-headquartered Infogain Corporation and the non-Exec Chair on the board of a pioneering electric-2-wheeler company Ampere Vehicles, which is now a brand of Greaves Cotton Ltd.

      Earlier on in his career, Sudip has been the CEO and then Chairman India for Aricent. Prior to that, he had spent 25+ years in Wipro where he has been the Head of US business, Engineering R&D Services, and later the Head of EU Operations.

      Sudip is an active investor in several interesting startups in India and overseas, which mostly use technology for the social good, encompassing hyperlocal, healthcare, rural development, farmer support and e2W ecosystem. He also spends time as a coach and mentor for several CEOs in this role.

       

      SUJEETH JOSEPH Chief Product Officer

      SUJEETH JOSEPH

      Chief Technology Officer

       

      As CTO, Sujeeth is responsible for defining the technology roadmap, driving IP & solution development, and transitioning these technology components into practically deployable product engineering use cases.

       

      With a career spanning over 30+ years, Sujeeth Joseph is a semiconductor industry veteran in the SoC, System and Product architecture space. At SanDisk India, he was Director of Architecture for the USD $2B Removable Products Group. Simultaneously, he also headed the SanDisk India Patenting function, the Retail Competitive Analysis Group and drove academic research programs with premier Indian academic Institutes. Prior to SanDisk, he was Chief Architect of the Semiconductor & Systems BU (SnS) of Wipro Technologies. Over a 19-year career at Wipro, he has played hands-on and leadership roles across all phases of the ASIC and System design flow.

       

      He graduated in Electronics Engineering from Bombay University in 1991.

       

      SUJITH MATHEW IYPE Co-founder & CTO

      SUJITH MATHEW IYPE

      Co-founder & COO

       

      As Ignitarium's Co-founder and COO, Sujith is responsible for driving the operational efficiency and streamlining process across the organization. He is also responsible for the growth and P&L of the Semiconductor Business Unit.

       

      Apart from establishing a compelling story in VLSI, Sujith was responsible for Ignitarium's foray into nascent technology areas like AI, ML, Computer Vision, and IoT, nurturing them in our R&D Lab - "The Crucible".

       

      Prior to founding Ignitarium, Sujith played the role of a VLSI architect at Wipro Technologies for 13 years. In true hands-on mode, he has built ASICs and FPGAs for the Multimedia, Telecommunication, and Healthcare domains and has provided technical leadership for many flagship projects executed by Wipro.

       

      Sujith graduated from NIT - Calicut in the year 2000 in Electronics and Communications Engineering and thereafter he has successfully completed a one-year executive program in Business Management from IIM Calcutta.

       

      RAMESH SHANMUGHAM Co-founder & COO

      RAMESH SHANMUGHAM

      Co-founder & CRO

      As Co-founder and Chief Revenue Officer of Ignitarium, Ramesh has been responsible for global business and marketing as well as building trusted customer relationships upholding the company's core values.

      Ramesh has over 25 years of experience in the Semiconductor Industry covering all aspects of IC design. Prior to Ignitarium, Ramesh was a key member of the senior management team of the semiconductor division at Wipro Technologies. Ramesh has played key roles in Semiconductor Delivery and Pre-sales at a global level.

      Ramesh graduated in Electronics Engineering from Model Engineering College, Cochin, and has a Postgraduate degree in Microelectronics from BITS Pilani.