Lolaark Vision Inc

Make the invisible visible
Baytown

About Lolaark Vision Inc

Shade, low light, glare, headlights, haze, fog, heavy rain, and murky waters dramatically reduce video stream clarity.
These factors affect the performance of navigation software for autonomous, self-driving cars, or even
remotely operated vehicles, e.g. drones or robots. We employ a mix of sophisticated mathematical algorithms and non-traditional AI to recover the shape of objects, their color, enhance structural details and suppress clutter to clear out the effects of poor visibility.

The main advantages of our software are the ability to selectively enhance the shapes of objects and their surface
structural details even when they appear to be almost entirely opaque. Our software, the Clarifier processes in real-time any digital video stream and can broadcast over a LAN or the internet the clarified video stream or send it to a display monitor. We have achieved extremely low latency. Our software is marketed in two forms, as a plugin or as a standalone product.

Team

Problem statement

Navigation cannot entirely rely on GPS, LIDAR sensors or even RADAR and Sonar. Remotely operated machines in the air, on the ground or on sea surface use cameras for navigation in combination with these sensors. The Clarifier improves in real-time the visual quality by enhancing scene visibility.

Our target markets are underwater robot (ROV) manufacturers and operators, drone manufacturers especially those who specialize in military or delivery drones, helicopter operators, search and rescue teams, tactical diving teams, CCTV manufacturers and emergency vehicle operators.

Our technology can also be used as preprocessing plugin for AI-vision based systems like, self-driving vehicles where poor visibility due to fog or precipitation can seriously affect object detection.

Traction information

So far we have generated traction and some sales for our first product, the Clarifier for underwater robots (ROVs) and companies generating underwater 3D visualization surveys.

Updates

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