Many companies continue to emphasize manual quality control, relying on sorters and operators to carry out all inspections, resulting in outcomes that are often both inaccurate and inefficient. 

Wipro’s computer vision-based AI/ML solution drives sorting and inspection automation by using cameras—as well as specialised devices that measure factors like moisture, oiliness and thickness—to detect defects. The AI/ML algorithms are designed to learn over time, further improving accuracy. The computer vision-based system has proven to be efficient in addressing quality issues during production line surges and as part of human-intensive quality assurance processes.  

Wipro also advances supply chain reliability with an AI/ML-empowered, blockchain-based IoT solution that provides end-to-end product visibility, tracking key parameters such as temperature and humidity. The solution leverages the capabilities of industrial IoT and machine learning algorithms, allowing businesses to simulate their operational readiness in complex scenarios. Furthermore, AI/ML-based real-time insights enable manufacturers to easily identify weak links in their supply chains and increase their efficiency.