Changing How Machines See the World
Lolaark Vision is changing the way machines see the world.
It’s a tech company creating software to make photographs, recorded videos, and even real-time video easier to view. As Lolaark Vision says, this software isn’t a luxury — it’s the next step in an evolution of live video-stream restoration.
Consider the markets this technology can potentially disrupt:
• The global autonomous car market is projected to surpass one trillion dollars by 2026.
• Video surveillance is projected to become a $144 billion market by 2027.
• Drones will become a sixty-three-billion-dollar market by 2025.
• And medical imaging is already a sixteen-billion-dollar global market.
All of these markets rely on accurate, clear camera views to provide the necessary visibility. For example, self-driving cars need to detect objects and pedestrians ahead. So do drones and security cameras. Medical-imaging devices, meanwhile, must see clearly during an operation. The result could truly be life or death.
The problem is that current imaging options require adequate visibility for optimal performance. Shade, low lights, glare, and weather conditions often reduce camera visibility, thus increasing the likelihood of errors.
That’s why Lolaark Vision’s technology can make such an impact. It’s able to clarify live video streams and still images for a broad spectrum of conditions and types of digital cameras.
This technology can be used with night vision and infrared spectrum operating cameras. It can even work with cameras tuned to capture images in spectrums humans can’t see. It’s designed to achieve high restoration clarity for a variety of visibility and operating conditions.
In fact, in a trial with the American Bureau of Shipping, Lolaark’s software improved video clarity by 110%.
Lolaark’s technology can work either as a standalone software product, or be plugged into an image processing analysis pipeline. For marine operations, this technology has been packaged into a commercial product for up to 1080p underwater cameras to clean up a live video stream.
To generate revenue, Lolaark earns royalties collected from companies that incorporate its software into their own cameras and products.
The company launched in July 2021 and last year it created a minimum viable product. Last month, Lolaark filed for a provisional patent.
Emanuel has twenty-two years of experience in applied mathematics. His areas of research include image and video processing, computer vision, deep learning, and neuroscience imaging.
In addition to his role with Lolaark Vision, he is a professor at the University of Houston, teaching mathematics. He earned his Ph.D. in the subject from the National Kapodistrian University in Athens, Greece.
Sanat is the primary inventor of Lolaark Vision’s technology, which he initially formulated as part of a research project with co-inventor Emanuel Papadakis.
Sanat has more than a decade of research and development experience in applied mathematics, computer science, and software development.