SBIR/STTR Research Award

Cannon Ammunition Vision System and Double Ledger Inventory Management Support

Award identifier 0b9426d1a7e921335d9ea630c1582adb2f389bc86427f4f1610f15673310b5e8Awarding agency Department of Defense · Army

Award amount

$198,382

Program and phase

SBIR · Phase I

Award year

2021

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Carnegie Robotics LLC
Proposal award date
2020-11-02
Contract end date
2021-03-05
UEI
WKVNZKNJQS84
Solicitation number
20.5
Topic code
A20-179

Research abstract

CR Tactical proposes to participate in the Fire-Faster-Cohort and provide a Cannon Ammunition Vision System (CAVS) including redundant on-board inventory management in order to provide the real-time disposition of self propelled howizter class five (CL V) ammunition supplies. CAVS would fulfill the vision and onboard-inventory component of a Fire-Faster System of Systems. The envelope of processable CL V includes shells, fuzes, propellant (both in and out of casings), stub cases, and fuzed shells.  The CAVS includes a camera based sensor suite designed to scan a shell, fuze, propellant, stub case, or shell/fuze combination and create imagery and 3D data of the outer surface of the ammunition item.  The CAVS analyzes the imagery and 3D data in real-time and compares the result to a database of known ammunition characteristics to ascertain the classification (database identification), Department Of Defense Ammunition Code (DODAC), weight markings, nomenclature, LOT#, and serviceability determination (presence of visual defects and proper installation) of the CL V. The CAVS will support integration with the Extended Range Cannon Artillery (ERCA), M992A3 Carrier Ammunition Tracked (CAT), and the M109A7 Self-Propelled Howitzer (SPH), and potentially other cannon artillery systems . Because it is provided in electronic form, the data produced by the CAVS will be immediately available to the Fire-Faster control computer and Paladin Digital Fire Control System (PDFCS) for inventory visibility.  Electro-mechanically, the CAVS is an assembly that includes real-time processing, motorized CLV manipulation, environmentally sealed ammunition entry apertures, a redundant pair of hybrid low-power Field Programmable Gate Array, Central Processing Unit, and Graphics Processing Unit System on Module, stereo camera pairs, and illumination. This assembly can be used as a self contained unit for testing and can be decomposed to integrate with the larger Fire-Faster SoS assembly. The CAVS is based on an advanced but proven family of products that Carnegie Robotics has developed for the water and sewer utility inspection industry that produce 2D and 3D data-sets using machine vision and monocular and stereo structure from motion in order to produce as built diagrams, defect modeling and detection, and plot and plan maps from environmentally sealed and rugged camera assemblies that traverse the pipe or manhole. This technology used in reverse, that is scanning an object inside of a cylinder rather than scanning the cylinder, is the central proposed concept of CAVS.

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

10 SBIR/STTR records share this UEI (2011–2024). Reported award amounts total $3,527,177. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.