Physical space analytics platform Ulisse, itself born out of Monza, Italy-based Lanp, has launched a new radar and computer vision-based artificial intelligence (AI) platform for Internet of Things (IoT) applications.
Designed to help companies and governments turn their locations into intelligent places, the new solution uses self-installing sensors instead of traditional AI cameras, which Ulisse said helps to preserve individuals’ privacy.
“Cities, buildings, public transit all need data about how people interact. Human experience is a crucial aspect of how buildings and places are designed and will be an important part of the equation as we move forward,” explained Ulisse CEO Luca Nestola. “Ulisse does that through its technology and analytics.”
In fact, the company’s new sensors work via radio frequency (RF), illuminating the target with reflection point clouds, as opposed to smart cameras’ color images.
In addition, the radar-based approach increases the overall accuracy of gathered analytics as well as reduces the density of sensors in the physical environment and their related costs.
Ulisse said the technology utilizes a ‘Lego-like’ approach, which supports the compilation of multiple hardware modules and software algorithms that can then be adapted for different industry applications.
“Ulisse has a unique adaptive design so that it learns from human behavior and can turn every physical space into an intelligent space, regardless of what it is,” Nestola said.
The Ulisse platform is currently being tested as part of two separate pilot programs by Singapore Cable Cars, and in the Metropolitan City of Venice, Italy, respectively.
In the first project, the solution is being used to determine the crowds and comfort level of the transit system, while in the second one it will analyze and measure the density of tourists traveling through the town.
Additional applications include the assessment by businesses of unused space in buildings to maximize operations, real-time insights to improve operation in brick-and-mortar retail stores, and identifying falls or other dangerous situations for the sick and/or elderly.
“We want to help realign spaces and places with people to create more liveable, comfortable and, for businesses, more profitable environments,” Nestola concluded.
computer vision | edge AI | IoT | privacy | Radar | sensor | smart city | Ulisse