SBIR/STTR Research Award

Visual AI Enabled Automated Threat Detection in Full Motion Video Through Correlation of Object and Facial Recognition

Award identifier cc1ebe96b18cf684f099f68a9067a110b0da29ef97d9bf1f536c12379335a948Awarding agency Department of Defense · Army

Award amount

$110,241

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Chooch Intelligence Technologies Co.
Proposal award date
2020-06-23
Contract end date
2021-04-30
UEI
KDZNTGFFURB3
Solicitation number
20.1
Topic code
A20-076

Research abstract

Chooch AI is a patented, ready-now, visual artificial intelligence technology platform that provides object detection and recognition, image and object segmentation, annotation, labeling, dense classification, and semantic analysis (contextual perceptions) of images both passive and dynamic. System generated metadata can be synchronized across existing networks thereby increasing the speed of human-on-the-loop decision cycles and event-driven outcomes.  Chooch AI has several distinct advantages over competing technologies. First, Chooch AI is a singularly integrated network of neural networks with over 115 detection, recognition, and evaluation models, including change and anomaly detection. Second, Chooch AI has approximately 200,000 pre-trained object, image, and facial classes. Third, Chooch AI is extremely versatile, offering a broad range of deployment options from a single Edge processing device to unlimited desktop terminals serviced from the cloud or on-premise network. Fourth, Chooch AI training, integration, scale, and support is market leading for both simplicity and completeness. Finally, Chooch AI provides a Dashboard interface to train and visualize outcomes, create alerts, reports, and conduct remote deployments onto Chooch Edge AI devices for the end-user. Chooch AI's object and image segmentation enables users to distinguish objects of interest from background imagery in static and FMV feed. This process eliminates noise (clutter) in images and significantly increases the accuracy in training and predictions. Once images are segmented, Chooch AI applies a combination of neural networks to recognize objects, faces, and actions to the highest degrees of accuracy followed by tagging of ALL objects within a scene. Chooch AI Facial Recognition technology includes liveness detection, detects spoof and deep fake attempts, and has recently been evaluated at 'State-of-the-Art’ performance by the National Institute of Science and Technology (NIST) 1:1 testing. Chooch AI is hardware, operating system, sensor, and light spectrum agnostic. Chooch AI can recognize objects in Electro-Optical (EO) and Infrared (IR) FMV. For on-premise or in-theatre processing, Chooch AI can reside at ground stations, tactical or emergency operations centers. These locations can be connected with existing mesh network technologies and communications architecture to provide uninterrupted visual data processing and updates to the network.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2019–2020). Reported award amounts total $859,308. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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