SBIR/STTR Research Award

Dirty Bomb (Radiological Dispersal Device) Detection for EOD Robots

Award identifier 8866507d62b13f8f0b01dde38e52a37914288373d5f452f56b3ee9e18ad3abd4Awarding agency Department of Defense · Air Force

Award amount

$1,250,000

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
IMAGE INSIGHT, INC.
Proposal award date
2022-05-05
Contract end date
2024-02-09
UEI
F7QDNM7KY5W2
Solicitation number
X22.1
Topic code
AF221-DCSO1

Research abstract

Adversaries may use inexpensive Radiological Dispersal Devices (RDD or “Dirty Bombs”) to execute potentially lethal attacks, disrupt military or civilian operations, or cause catastrophic economic harm. Other radiological or nuclear attacks or accidents also have devastating national security and public safety consequences. To counter this threat, Image Insight Inc. developed GammaPix technology that enables unmodified digital cameras to detect radioactive materials. This proven and commercially available (TRL-9) video analysis software technology is sold to military, public safety, and medical research sectors, and has been designated a Qualified Anti-Terrorism Technology under the DHS-administered SAFETY Act. Many Explosive Ordnance Disposal (EOD) teams use robots to reduce the risk of death or injury to bomb disposal technicians. Unfortunately, most EOD robots do not carry radiation detection equipment, so EOD teams often do not have a way to determine if they are facing a Dirty Bomb. The aim of this project is to adapt and integrate GammaPix with these robots. This low-risk, high-reward project increases the safety and effectiveness of both military and civilian bomb disposal units by enabling every EOD robot to detect radioactive threats.  Image Insight builds and sells other video analysis software using proprietary algorithms and Machine Learning Cyber-Physical Sensing techniques. In addition to software designed to detect radioactivity, Image Insight maps ionizing radiation for public safety purposes. Another video analysis product that leverages machine learning techniques is our LaUDS™ technology, which enables unmodified security cameras to detect unmanned aerial vehicle (“drone”) threats at night using unmodified security cameras. This technology will be integrated with our GammaPix commercial products to augment force protection and intelligence-gathering capabilities and to secure public spaces to keep civilians safe from aerial threats.  USAF will greatly benefit from this technology by gaining an enhanced radiation detection capability that will keep EOD technicians better informed as they face threats.  Moreover, warfighters can use this technology when forced to fight in a nuclear-contaminated zone. The capability to avoid or fight-through a fallout zone will help improve our collective ability to deter aggression.

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

4 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $2,088,782. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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