Adaptive Target Threat Identification System (ATTIS) Navy SBIR FY2015.2 Sol No.: Navy SBIR FY2015.2 Topic No.: N152-088 Topic Title: Adaptive Target Threat Identification System (ATTIS) Proposal No.: N152-088-0061 Firm: Stottler Henke Associates, Inc. 1650 South Amphlett Blvd. Suite 300 San Mateo, California 94402 Contact: Richard Stottler Phone: (650) 931-2700 Abstract: Current systems that analyze thermal imaging data on Navy aircraft do not provide threat level identification of detected objects. As a result, pilots must actively and manually process the data to identify and process targets. This takes the pilot�s focus and attention away from more important and critical tasks. There is however potential for a system to passively and intelligently monitor and analyze IR data and notify the pilot when a threat is detected that requires the pilot to handle and respond to the situation. In this proposal, we describe a solution that incorporates a variety of image-enhancing algorithms and state- of-the-art computer vision techniques as well as advanced artificial intelligence reasoning frameworks to create a high performing system that also has low false-positive rates. For each detected object, the system will extract a variety of defining characteristics and features, such as size, shape, location, and heat signature as well as longer-term flight patterns. The system will also be designed to be easily integrated into existing onboard systems. Benefits: A threat identification system based on infrared imagery will be useful for Navy operations as well as have potential applications beyond that particular domain. The system�s ability to sharpen low-resolution videos to produce sub-pixel resolution still frames alone presents many commercialization opportunities in both government and private surveillance and security domains. Return