We’ve pushed the envelope for advanced vision in AI in so many ways. Our market accomplishments and approach to partnerships and service speak for themselves. Right now, we’re witnessing a sea change, a true paradigm shift across logistics, manufacturing and food processing automation, as advanced machine vision becomes the intelligent component driving robotic actions.
Fizyr, and advanced vision across these verticals, is quickly moving from a market cycle of low adoption and ‘project’ work, to becoming a standardized automation product component in smart systems. Here are a few real-world examples:
Manufacturing
In the automotive sector, AI-powered machine vision is now a standard part of the assembly line, particularly for tasks where traditional rule-based vision failed, such as inspecting reflective surfaces or complex weld seams. BMW utilizes AI-driven vision systems for end-of-line inspections, such as checking for paint defects and assembly verification. By using deep learning, they can identify anomalies like "orange peel" textures or microscopic bubbles that are invisible to the human eye. Read the case study here.
Logistics & Warehousing
Research from MIT and Mecalux (2025) found that 60% of warehouses have already integrated AI, with 90% using some form of advanced automation. More than half of these organizations operate at advanced or fully automated maturity levels. Read the summary at DC Velocity. Amazon (of course) has been aggressive on this front. The company employs AI vision for item singulation (identifying individual items in a bin) and autonomous inventory monitoring via drones and mobile robots. These systems are being adopted throughout the Amazon eco-system. Learn more about Amazon’s Proteus system.
Farming & Food Processing
We’re working directly with major global food automation integrators, but we're also seeing a massive push throughout the industry. For example, in high-compliance environments, vision systems now monitor workers in real-time to ensure the use of PPE (hairnets, gloves) with over 96% accuracy. The vision-based automation and detection tools are maturing and seeing massive adoption growth. Here’s a great post with multiple examples.
Fizyr - The Past, the Present and the Very Near Future
Our company and our technology have reached a tipping point that enables a huge variety of automation technologies, situations where vision AI operates as the eyes and brain for a variety of robotics use cases. Our past was dominated by proof of concept projects, experimentation, and managing a sector of automation that wasn’t quite ready for advanced vision and AI.
Today, we’re seeing it very differently.
Our focus today is simple: make advanced vision effortless for automation integrators. With the upcoming release of Fizyr OS 3.0 (Spring 2026), we’re delivering a major leap forward for integrators and end users alike. This release brings powerful enhancements to implementation tools, machine learning and neural network efficiency, digital twin visualization, physical AI tooling, and a fully upgraded API and user interface.The result is a complete, production-ready vision platform that enables our automation partners to deploy faster, scale with confidence, and roll out high-performance robotic cells across industries with unprecedented speed and reliability.
Reach out, it would be great to have you along for the ride.
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