Computer vision AI can dramatically change business operations and revenue streams by enabling advanced automation, enhanced quality control, and improved customer experience. In manufacturing, it allows for real-time defect detection to ensure higher product quality. Retailers leverage it for inventory management, using image recognition to monitor stock levels and analyze customer preferences. In the agriculture sector, computer vision can perform tasks like efficient planting, weeding, and harvesting, reducing labor costs and minimizing waste. By automating routine tasks, improving accuracy, and providing valuable insights, computer vision AI drives operational efficiency and opens new avenues for revenue growth across various industries.
Another challenge facing the food industry lies in logistics and quality control. AI-powered tech has the potential to improve both, believes Jonathan Berte, founder of computer vision AI platform Robovision in Belgium.
“Berte called for governments to build ecosystems that support AI innovation without over-regulating. He highlighted the importance of government involvement in creating favourable conditions for AI development.”
Farming is one of the world’s oldest industries, but also one of the least efficient. Increasingly, however, farmers are adopting technologies like AI, drones, and robots in a bid to make their jobs easier, greener, and more profitable. Belgium’s Robovision, has created a platform for managing AI-based vision systems on farms.
Robovision helps businesses in today’s fast-moving and competitive world through its AI-powered computer vision platform. Any user — from factory operators and farmers to engineers and physicians — are able to create and retrain dynamic AI solutions. By adding intelligence to machines, complex automation challenges are solved with innovative outcomes, often leading to industry-wide disruption. Today, Robovision is trusted to power more than 1,000 robots in over 40 countries.