Diwama (Accelerator)

Company Description: Transparency and traceability are key to connect the waste value chain and drive sustainability and this is why Diwama is on a mission is to collect smart data on waste streams and translate them into actionable insights to drive green behavior and improve operational efficiencies across the waste value chain. Diwama is working on “Vitron”, an AI-based image recognition software that automates waste analysis to drive recycling revenues. Vitron consists of a supervisory unit, an AI vision and an online dashboard. The supervisory unit is a camera connected to a computer which are installed above conveyor belts in waste sorting and recycling facilities. The AI vision is a deep learning algorithm which is installed on the computer and trained to detect the several types of waste passing on the conveyor belt in real time based on what the camera sees. Data analytics and KPIs will then be displayed on an online dashboard along with actionable insights to optimize the facility performance, increase recycling rates and increase purity of recyclables. Vitron Features: • Real time and historical data on waste classification based on type, weight and brand • Quality control over sorted plastics • Maps waste composition to source • Provide consumer behavior analysis