Ishitva makes automation solutions for sorting of recyclable materials using AI, machine learning, and the internet of things. It has developed complete range of offerings starting from AI powered air sorter and robotic sorter to fully automated Material Recovery Facilities.

The recycling industry faces a significant challenge in efficiently sorting and processing high volumes of waste materials. The current manual sorting process is time-consuming, inefficient, and prone to errors, hindering the creation of a circular value chain. Dumping and burning of dry waste materials continue to be prevalent, leading to environmental pollution and waste of valuable resources. There is a pressing need for effective and efficient waste sorting systems to improve the quantity and quality of recycling activities.

Ishitva Robotics Systems, a company founded in 2018, is dedicated to solving real-world waste management problems by leveraging industry 4.0 tools such as Artificial Intelligence, Machine Learning, and IoT. They have developed an automated Material Recovery Facility (MRF) solution to address the challenges of waste sorting.

The Automated MRF provided by Ishitva Robotics Systems utilizes computer vision technology to significantly enhance the efficiency and accuracy of sorting at various stages of the waste value chain. Their proprietary algorithm, called 'ishitvAI,' enables high-volume sorting with improved quality in a fraction of the time required for manual sorting. The algorithm continuously learns and improves its capabilities through self-learning mechanisms, making it a highly effective tool for waste classification.

Ishitva Robotics Systems offers a range of solutions designed to revolutionize the recycling industry and facilitate a circular economy. These solutions include SUKA, an AI-powered Air Sorting system, YUTA, an AI-powered Robotic Sorting system, Netra, an AI Vision system, and Smart bins. These modular and plug-and-play solutions can be seamlessly integrated into existing waste management infrastructure.

By implementing Ishitva Robotics Systems' Automated MRF and other industry 4.0 solutions, the recycling industry can achieve remarkable improvements in operational efficiency and sustainability. The automated sorting process significantly reduces the time and labor required for sorting high volumes of waste materials. With live monitoring and cloud platform analytics accessible through mobile devices, operators can gain real-time insights into the sorting process, enabling them to make data-driven decisions and optimize operations. The impact of Ishitva Robotics Systems' solutions extends beyond operational efficiency. By preventing dumping and burning of dry waste materials, the solutions contribute to environmental preservation and the conservation of valuable resources.

Photo by ISM Waste and Recycling on Unsplash