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The Changing Face of Quality Control in India Powered by Machine Vision In today’s highly competitive, fast-paced and customer-centric world, ensuring superior quality standards is a prerequisite for industries across the spectrum. The pressure to stay ahead of the market and attain customer delight is driving companies to optimise operations, lower costs and increase efficiencies like never before. This has led to a paradigm shift in quality control in India. The Government of India is introducing compulsory quality standards that are more stringent yet practical across retail, FMCG, manufacturing and more. This will help the country withstand fierce competition, scale production and become more competitive. At the forefront of this revolutionary change is machine vision, which enables inspection automation for consistent and accurate results. What is Quality Control? Quality control is a comprehensive approach followed across the entire production or delivery process to ensure that specific quality standards and specifications are met. It involves: Meticulously checking the products delivered for defects or inconsistencies Monitoring the production processes to ensure consistency and adherence to established procedures Adopting corrective actions in the event of defects by reworking the production process, fine-tuning the…
5 Compelling Machine Vision Applications for a Sustainable India Sustainability has emerged as the need of the hour for countries across the globe. The Paris Agreement signed by 196 Parties, including India, aspires to limit global warming to below 1.5 degree celsius and attain net zero carbon emissions by 2050. This calls for countries world-over to pivot their development strategies towards smart sustainability. Machine vision, a subfield of computer vision, can help various sectors including agriculture, energy, transportation, waste management, environment and more, in this transformative journey by delivering smart solutions to sustainability issues. What is Machine Vision? Machine vision technology equips machines with “sight”. The set-up includes lighting, cameras with sensors, processors, and communication systems. Lighting illuminates the environment or object of focus, the lens and sensor within the camera captures images of the object and converts them into a digital format, and the processor extracts meaningful insights from the digital data through its built-in software and machine vision algorithms. Based on the data gathered by the processor, the system communicates with other machines, robots or software through output channels. Machine Vision System Applications in the Real World Smart…