COMPUTER VISION FOR WASTE MANAGEMENT
What We Do
We provide AI-based waste recognition software to power next generation robotics and smart systems that will monitor, audit and sort waste at scale
Waste Monitoring
We can monitor waste composition at different stages of the waste life cycle in bins, trucks, and sorting facilities, and thereby provide actionable data insights and transparency. This enables efficient tracking and direction of waste flows, targeted education to consumers and the introduction of adaptive machines and quality guarantee by sorting facilities.
Automated Sorting
Our computer vision software can power robots that identify and rapidly pick objects off a conveyor belt in Material Recovery Facilities (MRFs) to remove impurities. This automates an unpleasant manual task and can provide data on purity levels of sorted materials for recycling.
Smart Bins
Smart bins and reverse vending machines can embed object recognition to accept recyclables, reject contaminants and classify (sort) the waste automatically. This allows for more advanced decentralised systems for waste management.
Services
Our services include off-the-shelf software and customised computer vision solutions for different waste management systems
Off-the-shelf Waste Recognition Software
Greyparrot’s waste recognition software enables sorting of waste types including: Glass, Paper, Cardboard, Newspaper, Cans (tin, aluminium), Plastics (black trays, PET, HDPE), Trash (non-recyclable) and more. Available as an off-the-shelf API that integrates easily into existing systems (applications, websites, machines).
Customised Computer Visions Services
We provide end-to-end services to develop new waste recognition capabilities according to your requirements and use case. We collect data in your facility, develop AI models and deploy solutions that fit your environment for waste management.
Customised Computer Visions Services
We provide end-to-end services to develop new waste recognition capabilities according to your requirements and use case. We collect data in your facility, develop AI models and deploy solutions that fit your environment for waste management.
The Team
Our team has extensive experience in computer vision and deep learning (AI) with a track record of building and deploying large scale enterprise solutions.
We are passionate about solving industry challenges that can lead to positive social impact.
Mikela Druckman
Founder & CEO
Mikela has extensive experience in leading cross-functional teams internationally to commercialise deep technology products and services for enterprises. She is a Global Future Council member at the World Economic Forum for AR & VR, and was awarded “TopWomen50” in tech by WeAreTheCity in 2018. Mikela was previously CCO at Blippar. She is passionate about using new technologies to solve key challenges in our society.
Nikola Sivacki
Co-founder & Senior Engineer
Nikola has a background in electrical engineering and has spent the last 15 years specialising in neural networks (deep learning) and statistical machine learning. He was the principal contributor in multiple commercial projects including high-noise OCR systems and landmark recognition under difficult out-of-distribution scenarios. He is passionate about applying the latest research to solve challenging problems.
Marco Paladini
Co-founder & Senior Engineer
Marco has a PhD in computer vision from Queen Mary University of London. His experience includes working on warehouse vision systems, robot manipulators, 3D vision and embedded software for mobile robots. He was previously a robotics researcher at Ocado and a senior computer vision engineer at Blippar. Marco loves robotics and automation. He has publications in CVPR, ECCV and other leading computer vision and robotics journals and conferences.
Carlos Vrancken
Product Manager
Max Cobb
Senior Software Engineer
Max is a full-stack software engineer turning research into products. He has built leading edge AR frameworks for visual search engines and AR navigation solutions. Max previously led the front-end development for Blippar’s car/auto recognition engine. In his spare time, he enjoys contributing to open source libraries and exploring all things AR and computer vision.
Alisa Pritchard
Head of Marketing & Operations
Alisa has 10 years experience in tech start-ups commercialising computer vision and augmented reality and in multinational companies pioneering nutrigenomics. She has an MBA from Imperial College and was President of the Imperial Marketing & Digital Society. She is a strong believer in the transformative power of deep learning and its applications for social impact.
Krisztian Kovacs
Deep Learning Engineer
As a Machine Learning Fellow at Fellowship.ai Kris enjoyed prototyping and building machine learning models, particularly deep learning models. He has worked on classifiers & object detection models and has extensive experience in computer vision, NLP and structured data. When he isn’t sifting through code, he likes to meditate and read sci-fi novels.
Mikela Druckman, Founder & CEO
Mikela has extensive experience in leading cross-functional teams internationally to commercialise deep technology products and services for enterprises. She is a Global Future Council member at the World Economic Forum for AR & VR, and was awarded “TopWomen50” in tech by WeAreTheCity in 2018. Mikela was previously CCO at Blippar. She enjoys working with diverse teams to solve problems using cutting-edge technology.
Nikola Sivacki, Co-founder & Senior Engineer
Nikola has a background in electrical engineering and has spent the last 15 years specialising in neural networks (deep learning) and statistical machine learning. He was the principal contributor in multiple commercial projects including high-noise OCR systems and landmark recognition under difficult out-of-distribution scenarios. He is passionate about applying the latest research to solve challenging problems.
Marco Paladini, Co-founder & Senior Engineer
Marco has a PhD in computer vision from Queen Mary University of London. His experience includes working on warehouse vision systems, robot manipulators, 3D vision and embedded software for mobile robots. He was previously a robotics researcher at Ocado and a senior computer vision engineer at Blippar. Marco loves robotics and automation. He has publications in CVPR, ECCV and other leading computer vision and robotics journals and conferences.
Max Cobb, Senior Software Engineer
Max is a full-stack software engineer turning research into products. He has built leading edge AR frameworks for visual search engines and AR navigation solutions. Max previously led the front-end development for Blippar’s car/auto recognition engine. In his spare time, he enjoys contributing to open source libraries and exploring all things AR and computer vision.
Alisa Pritchard, Head of Marketing & Operations
Alisa has 10 years experience in tech start-up commercialising computer vision and augmented reality as well as in multinational companies pioneering nutrigenomics. She has an MBA from Imperial College and was President of the Imperial Marketing & Digital Society. She is a strong believer in the transformative power of deep learning and its applications for social impact.
Krisztian Kovacs, Deep Learning Engineer
As a Machine Learning Fellow at Fellowship.ai Kris enjoyed prototyping and building machine learning models, particularly deep learning models. He has worked on classifiers & object detection models and has extensive experience in computer vision, NLP and structured data. When he isn’t sifting through code, he likes to meditate and read hard sci-fi novels.
