COMPUTER VISION FOR WASTE MANAGEMENT

 

What We Do

We provide AI-based computer vision solutions to power next generation robotics and smart systems for the waste management industry

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. 

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 to businesses generating large amounts of waste. This enables efficient tracking and direction of waste flows, as well as providing data for targeted education and incentive schemes to increase recycling rates. 

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. 

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

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

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

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

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

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

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.

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