SBIR-STTR Award

Pilot AIs technology would help gain unprecedented insight from video data in real-time, whether it is at the edge or in the cloud. By taking advantage of ground breaking computer vision technology, their software can provide extremely accurate and reliable detection, tracking, and classification of people and objects along with related contextual information. Adoption of this technology would eliminate the current process involving dozens of man hours from military personnel.artificial intelligence,edge computing,machine learning

Pilot AI will develop a computer vision algorithm that quickly detects vehicles within very large format images taken from scanned Optical Bar Camera (OBC) film. Automating this process through the use of a fast computer vision algorithm will allow the 548th to better prioritize images for analysis, and highlight areas of interest for analyst prioritization. The model will be trained to be tolerant of significant optical aberrations or distortion present in high-altitude imagery. Pilot AI will utilize our tools and software developed commercially for the adaptation of US Air Force (USAF) use cases. These tools include: -Pilot AI's proprietary computer vision framework for training and running fast neural networks for object detection -Neural network model architectures designed to run on ISR imagery as well as fisheye (i.e., heavily distorted) images from security cameras Pilot AI's objective is to develop a model whose accuracy and processing speed are both high enough to be useful to the 548th. Pilot AI will work with the 548th and AFRL to determine inference speed as well as accuracy thresholds; Pilot AI will work in concert with AFRL throughout Phase II to measure key metrics of model accuracy/performance including F1, precision, and recall.