Filmed this one for Robovision and Jonathan Berte.

Here’s what Jonathan had to say: Excited to share that the Robovision team is pushing boundaries yet again! We're experimenting with an array of cutting-edge sensors, with hyperspectral cameras emerging as another promising innovation. Hyperspectral imaging divides light into hundreds of narrow spectral bands (standard cameras capture just red-green-blue) to reveal information invisible to the human eye. Each material has a unique spectral signature—similar to a fingerprint—which AI can detect with remarkable precision. Combining AI algorithms with hyperspectral imaging can support decision models that translate complex spectral data into actionable intelligence. A few examples: 🌈 Real-time analysis of hyperspectral data enables material identification without contact or destruction of samples—a quality control game-changer. 🌈 Early detection of plant stress, diseases, and nutrient deficiencies, can target interventions that reduce chemical usage by up to 80% 🌈 Identify failures, contaminants and foreign particles early in production processes Robovision remains committed to developing AI that solves real-world challenges by helping customers make decisions with previously invisible data.