Shortlist der besten Einreichungen

Odem is the world's first and only single-chip 4D LiDAR - the perception layer for Physical AI. It gives robotics and drone makers, automotive OEMs and Tier-1s, industrial-automation firms, and smart-city and security operators one sensor that measures range and per-pixel velocity together, in a single frame and in any condition.
That turns perception from reactive to predictive: not only where objects are, but how fast and where they move - separating moving hazards from static clutter instantly, with total immunity to sun glare, ambient light, and cross-talk, and clear vision through rain, fog, dust, and snow.
The breakthrough is Lidwave's patented Finite Coherent Ranging (FCR), reading the coherence of light rather than its speed. This puts the whole optical engine on one silicon photonics chip in a true monostatic design: calibration-free, built at wafer scale, and streaming millions of points per second over hundreds of meters.

Unique Selling Point (USP):
Odem is the first vision sensor to measure true instantaneous velocity at every pixel - optically and in real time - on a single, calibration-free silicon chip. It turns motion from something machine vision computes into something the sensor sees, delivering range, reflectivity, and Doppler velocity in one robust device that is manufacturable at a scale conventional LiDAR cannot match.

Medabsy is a CAD platform for designing machine vision systems -- the cameras and lighting that automatically inspect products on factory lines. Today they are largely designed by trial and error; Medabsy replaces guesswork with simulation. In our editor, the user imports a 3D model of their part and defines its material, texture, and the target surface defects, all derived from physical parameters. The inspection setup can be planned manually or with our optimization algorithm, using a database of market-available components. We then run physically accurate light simulation to generate synthetic datasets -- with pixel-perfect defect masks, full control over content, and rare edge cases on demand. This matters because real defect samples are scarce and hard to collect, yet reliable inspection AI depends on large, controlled, well-labeled training data.

Unique Selling Point (USP):
Our software lets users virtually design machine-vision systems using real market-ready hardware, then generate photorealistic synthetic training data with pixel-perfect annotations. Unlike generative-AI tools, we create datasets via physical light-transport simulation and mathematical texture/defect models--no generative AI--ensuring physical accuracy, full controllability, and systematic coverage

photonicSENS has turned plenoptic (light field) imaging, understood in theory for over a century, into a manufacturable industrial technology. Its apiCAM platform captures a full 2D image and a calibrated, per-pixel 3D depth map simultaneously, from a single sensor, in a single shot, with no projector, no scan axis, and no on-site calibration. A Micro-Lens Array between lens and sensor captures multiple angular perspectives in one frame. A proprietary algorithm then extracts genuine, measured depth in real time, including on specular metallic surfaces and transparent substrates that challenge structured light, laser triangulation, and stereo vision.

Manufactured at industrial scale using a proprietary automated alignment process in photonicSENS's own cleanroom in Valencia, Spain, the portfolio now spans over 50 off-the-shelf camera designs, with depth precision reaching under 0.5 µm at the high end and up to the millimetre range at the other. Light field imaging has been discussed in machine vision for two decades. photonicSENS is the company that made it a product.

Unique Selling Point (USP):
The only camera that captures a full 2D image and a metric, per-pixel depth map in a single shot, from a single sensor, with zero projector, zero scan axis, and zero on-site calibration. Every depth point is a real angular measurement, not an inference. Factory-calibrated for life, running in real time on embedded hardware.