Deep Analytics LLC announces it has been selected by AFWERX for an SBIR in the amount of $74,891 focused on improved object detection under high contrast lighting, especially objects illuminated by bright artificial lights in the dark, to address one of the most pressing challenges in the Department of the Air Force (DAF).
The Air Force Research Laboratory and AFWERX have partnered to streamline the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) process by accelerating the small business experience through faster proposal to award timelines, changing the pool of potential applicants by expanding opportunities to small business and eliminating bureaucratic overhead by continually implementing process improvement changes in contract execution.
The DAF began offering the Open Topic SBIR/STTR program in 2018 which expanded the range of innovations the DAF funded and now on May 13th, 2024, Deep Analytics LLC will start its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.
“One of the biggest challenges in developing AI enabled camera systems is the transition from the lab to the field. Especially within the military, the end-users are going to rely on your technology in all sorts of edge cases that push the limits of your technology.
With this new work we’ll be developing a new approach that integrates the camera state and an evaluation of the scene and target lighting right into the neural network training process, ultimately with the goal of improving object detect technologies in the most difficult lighting scenarios. Most importantly, the approach would be a drop-in to existing USAF systems, and not require new hardware like HDR cameras.
We’re excited to work on this challenging problem and look forward to transitioning with our USAF partners,” explained Gregory Hewitt, Deep Analytics’ Cofounder.
