Real-Time Personal Protective Equipment Non-Compliance Recognition on AI Edge Cameras

Dr. Pubudu Sanjeewani is currently a Sessional Academic in Computing Technologies at the School of Computing Technologies, RMIT University, Melbourne, Australia. She completed her Ph.D. in Artificial Intelligence and Image Processing at Central Queensland University, where she developed deep learning techniques for road safety attribute analysis. Dr. Sanjeewani served as a Machine Learning Engineer at Smart AI Connect, Australia, and a Consultant at KJR, Australia, and Datarwe, Australia, and contributed to developing several real-world AI applications. Her professional journey spans various roles, including software engineering and research assistance. She worked with the Department of Transport and Main Roads (DTMR), Qld, Australia, and the Australian Road Research Board (ARRB), the industry partners of her Ph.D. project, and contributed significantly to the field through her publications in reputable journals and conferences, focusing on deep learning and its applications in road safety. She is a Professional Member of Engineers Australia and has received numerous awards and scholarships, including the ARC’s Linkage Projects Funding Scheme Stipend Scholarship.

Glenn Neuber is the CEO and founder of MaxusAI, a Brisbane-based technology startup focused on VisualAI inspections to help companies leverage photos, videos, and geospatial data for business value. With over a decade of experience, Glenn has driven the adoption of emerging technologies through Design Thinking and Agile Experiments, successfully leading customer innovation from ideas and PoCs/prototypes to implementation. He has collaborated with Australian and global corporations across various industries, including Energy & Natural Resources, Logistics & Transportation, Public Services, Financial Services, and Sports & Entertainment.

John FitzGerald pursued a BSc in Artificial Intelligence, graduating with First Class Honours from Victoria University of Wellington. His career journey spans a diverse array of organizations, including ASX-listed companies, SMBs, Silicon Valley start-ups, and New Zealand Government departments and financial institutions. John has progressed through various roles such as Software Developer, Engineering Manager, Consultant, Architect, and Chief Technology Officer (CTO). With a strong affinity for AI and IoT technologies, John is currently contributing to SmartAIConnect, where he helps develop a platform that ensures the safe and efficient deployment of AI models on edge devices. His passion for tackling complex technical challenges with simple, elegant designs is shared with a growing team of talented engineers.

Dr. Nadeesha Chandrasena is an Urban Planner, Inventor, and Environmental Consultant with over 13 years of experience in research and industry. Holding a Doctoral Degree in Civil Engineering, a Master’s in Integrated Water Resources Management, and a Bachelor’s in Town and Country Planning, she specializes in flood management, storm drainage, and solid waste management. Nadeesha gained Australian permanent residency under the Global Talent Independent stream for her impactful contributions to environmental consultancy. She is renowned for her invention, 'Solid Waste Clog Resistant Open Drainage', recognized by Singularity University and awarded as a finalist in MIT’s '35 Innovators under 35'. A recipient of the prestigious 'Ten Outstanding Young Persons of Sri Lanka' award, Nadeesha currently serves as a Business Analyst at Smart Cities and Product Manager at Smart AI Connect, where she continues to innovate and lead in sustainable urban development.

Stijn Potums is an AI Compliance and MLOps Engineer at Smart AI Connect with a specialization in deploying computer vision models on edge devices, ensuring an optimal balance between hardware support, performance, and accuracy. He holds a Bachelor of Business Administration (BBA) degree in Law from Karel de Grote-Hogeschool. He holds the ISO/IEC 42001 Artificial Intelligence Management System (#AIMS) Lead Implementer certification. At Datarwe, Stijn focuses on medical imaging projects, conducting research and implementing innovative deep learning models. Stijn transitioned from a five-year career in full-stack web development to the field of Machine Learning, driven by a desire to build scalable and impactful solutions. He immersed himself in machine learning, with a strong focus on computer vision, by completing numerous courses and publicizing his projects. His hands-on experience in implementing and deploying vision architectures led him to join Smart AI Connect and Datarwe, where he addresses complex and meaningful challenges.

Dr. Azadeh Alavi is a Lecturer at the School of Computing Technologies at RMIT University, Australia. Her research interests include machine learning and the application of AI in health and industry. She has published over 50 papers on these topics in leading journals and conferences, with some of her work receiving notable recognition. Her awards include the Five Year Highest Impact Award at IJCB2020, the NVIDIA Best Paper Award at IEEE BTAS, and the Best-Performing Method for the DFUC2020 Challenge at MICCAI2020. She has also been awarded the Early Career Scientist (ECS) Miller Development Fund, the Northern Health Hospital RHHRF small grant, and the Malcolm Moore 2021 Industrial Award grant.

Christopher Lane serves as the Chief Executive Officer at Smart AI Connect with over twenty years of experience in R&D and operational management. Throughout his career, he has been at the forefront of new technology. He founded Coastalwatch in 1998, pioneering innovative streaming video and data services and building a private Layer 2 data telecommunications network. In 2008, he established 3 Crowns Technologies (formerly CoastalCOMS), where he developed AI, video analytics, and database management tools, as well as AWS cloud-hosted services with private IP connect. Most recently, at Constellation Technologies, he has contributed to the development of innovative processes and tools for managing and utilizing big data from the emerging IoT sector. These roles have honed his expertise in big data, smart city applications, and hosted data/video services. He has significant experience in engaging and managing relationships with key stakeholders, including clients, vendors, senior management, and development teams globally, as well as members of the community, while overseeing project scoping, implementation, and operations. His educational background includes a Master of Computing (AI), a Bachelor of Health Sciences, an Associate Diploma in Electrical Engineering and Electronics, and a Trade Certificate in Instrumentation Process and Control. This unique combination equips him with the tools to provide innovative solutions to a wide range of technical challenges.