SOURCES SOUGHT
59 -- RFI for Unattended Ground Sensors for differentiation and detecting of Humans versus Animals
- Notice Date
- 2/9/2012
- Notice Type
- Sources Sought
- Contracting Office
- 53560 Hull Street Bldg A33 Rm 1602W, San Diego CA 92152-5001
- ZIP Code
- 92152-5001
- Solicitation Number
- SSC-Pacific_MKTSVY_B42FE
- Response Due
- 3/2/2012
- Archive Date
- 3/17/2012
- Point of Contact
- Point of Contact - Tuan V Doan, Contract Specialist, 619-553-7835
- E-Mail Address
-
Contract Specialist
(tuan.doan@navy.mil)
- Small Business Set-Aside
- N/A
- Description
- Unattended Ground Sensor fordifferentiation and detecting of Humans versus Animals. ***A copy of the entire Request for Information (RFI) can be reviewed at https://e-commerce.spawar.navy.mil/ 1.0 Request for Information 1.1 Introduction The Department of the Navy, Space and Naval Warfare Systems Center Pacific, is seeking information on the availability of software/hardware associated with Unattended Ground Sensors (UGS) for classifying humans from animals. UGS sensors used for perimeter/border security currently employ seismic, non-imaging Passive Infra Red (PIR), acoustic, or magnetic sensors. Unauthorized personnel walking through or across the perimeter can be detected by the seismic, PIR, or acoustic sensors. However, these same sensors can be triggered by medium to large size animals (deer, burro, moose, livestock, etc). The classification capability to distinguish between humans and animals may involve software that would work with existing UGS sensors, hardware additions that would make existing sensors more capable, or new sensors. Any modifications to the UGS package for reliable classification should not raise the cost of current generation of UGS nodes significantly. For example, the incorporation of an expensive infrared camera into an UGS system (with transmission of imagery of a detected object) that significantly increases the system cost, does not meet the intent for this RFI. Sources able to satisfy the capabilities below are invited to submit information describing their capability. The submittal will include as a minimum: 1) A description of the enhanced UGS system that clearly identifies, (i) where non developmental items would be utilized, (ii) where modification to existing items are required, and (iii) where new developmental items are required. 2) Expected performance of hardware/software for detecting and classifying humans versus animals that walk by the UGS system. 3) Theoretical analysis and/or test results that validate the classification concept 4) Any environmental or terrain conditions that might affect or limit the detection and classification performance. 5) Cost and schedule estimates for prototype UGS nodes with classification of humans from animals. 1.2 RFI Operations Current UGS systems deployed for perimeter security normally contain a sensor/sensors subsystem to detect the presence of an object in the immediate area, a communications subsystem for reporting the presence of an object in the area, a power subsystem, and a control subsystem. The UGS system is typically buried with only the antenna for communications and in some cases the sensors (PIR, acoustic) exposed above ground. Prerequisites for an UGS system to be successful are to be covert and to consume low average power for a long lifetime. Changes to an UGS system to permit classification of humans from animals or other sources should impact the covertness and lifetime of the UGS system as little as possible. This RFI does not intend to limit the approaches used for classifying humans from other sources that trigger an UGS sensor. The classification approach may involve: - Signal processing approaches used with existing sensors - Data fusion approaches that may use information from multiple UGS in a geographical area or multiple sensor types employed with a single UGS system - Modifications to existing sensor types (seismic, PIR, acoustic) that will provide additional information that permits classification of humans - New sensor types that allow for human classification 1.3 Performance Features It is desired that the enhanced UGS system be able to: 1. Detect: humans walking at ranges consistent with or better than current, conventional, UGS sensor capability (25 meters or greater for seismic and PIR) 2. Classification: human versus non- human at 90% reliability for events that may trigger the UGS sensor/sensors as to the presence of a moving object in the immediate vicinity; higher signal to noise ratio requirements may decrease the classification range from the detection range but it is expected that the classification range will be at least 75% of the detection range 3. Environment: Operate in all environmental conditions typically encountered in the North American continental region 4. System Lifetime: Will not degrade system lifetime substantially from current UGS configurations and that a minimum lifetime of 1 year on battery is feasible 5. UGS Node Costs: As a goal, the classification capability should not increase the cost of current generation of UGS nodes (in production) by more than ~25%. 2.0 Responding to This RFI 2.1 General Guidelines White papers should be no more than thirty (30) pages in length including any and all appendices and attachments. Submissions must be received no later than 5:00 PM, U.S. Eastern Standard Time, 02 MARCH 2012. Any company proprietary information, performance capabilities and/or future modification plans should be clearly identified and marked. Companies are solely responsible for any and all expenses incurred pursuant to responding to this RFI. This RFI is issued solely for purposes of conducting market research and does not constitute any current or future commitment by the Government. No contract will be awarded under this RFI. Unsolicited proposals in response to this RFI will not be considered. Provide any input on price or desired price. 2.2 Content of Submissions One electronic submission in machine- readable format (typically PDF, ASCII, or MS Word format) should be sent electronically to the SPAWAR PACIFIC Contract Specialist: Tuan Doan at tuan.doan@navy.mil
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- SN02671523-W 20120211/120210114241-0749a76d394cdaaa610289bf4bf67dbd (fbodaily.com)
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