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FBO DAILY - FEDBIZOPPS ISSUE OF FEBRUARY 26, 2016 FBO #5208
MODIFICATION

A -- TECHNOLOGY/BUSINESS OPPORTUNITY OBJECT DETECTION IN IMAGES for TRANSPORTATION, MEDICAL AND INDUSTRIAL APPLICATIONS

Notice Date
2/24/2016
 
Notice Type
Modification/Amendment
 
NAICS
238990 — All Other Specialty Trade Contractors
 
Contracting Office
Department of Energy, Lawrence Livermore National Laboratory (DOE Contractor), Industrial Partnerships & Commercialization, 7000 East Avenue, L-795, Livermore, California, 94550
 
ZIP Code
94550
 
Solicitation Number
FBO304-16
 
Archive Date
4/11/2016
 
Point of Contact
Connie L Pitcock, Phone: 925-422-1072
 
E-Mail Address
pitcock1@llnl.gov
(pitcock1@llnl.gov)
 
Small Business Set-Aside
N/A
 
Description
TECHNOLOGY/BUSINESS OPPORTUNITY OBJECT DETECTION IN IMAGES For TRANSPORTATION, MEDICAL AND INDUSTRIAL APPLICATIONS Livermore National Security (LLNS), LLC under contract no. DE-AC52-07NA27344 (Contract 44) with the U.S. Department of Energy (DOE), is offering the opportunity to collaborate with LLNL to further develop and commercialize its Segmentation Ensembles System - a Big Data inspired system for identifying objects in images in both supervised and un-supervised environments. Background: Digital images in both two and three dimensions are used in a wide variety of applications such as medical imaging, nondestructive evaluation, industrial material characterization and transportation security. Users analyze the images to extract some high level information - a medical diagnosis, a material fault, etc. - from low-level information such as pixel colors or intensities. Current image analysis systems attempt to identify objects in images using traditional image processing techniques that operate on low-level pixels or pure expert systems that attempt to encode high-level knowledge. However, due to noise and artifacts in the source images and the inherent complexities of the applications, neither approach produces adequate results in all cases. Therefore, users cannot reliably identify objects of interest leading to potential costly errors, such as missed explosives or tumors. Consequently, many applications with big or complex imaging data sources could benefit substantially from improved segmentation and classification of digital images. Description LLNL has developed a new system, called the Segmentation Ensembles System, that provides a simple and general way to fuse high-level and low-level information and leads to a substantial increase in overall performance of digital image analysis. LLNL researchers have demonstrated the effectiveness of the approach on applications ranging from automatic threat detection for airport security, to natural images and cancer detection in medical CT images. Furthermore, LLNL's approach naturally leads to a big data type approach for unsupervised problems able to exploit massive amounts of unlabeled data in lieu of ground truth data, which is often difficult and expensive to acquire. LLNL has filed a patent application on the new system and is interested in continuing development focused on tailoring the approach to the most promising applications. LLNL's Segmentation Ensembles System is expected to provide users with improved abilities to: - Reliably detect and classify objects of interest in digital images - Build catalog(s) of labeled common objects - Use large-scale unsupervised data rather than, or in addition to, labeled training data - Fuse high-level non-image information including text and models with low-level image segmentation tasks, such as using shipping manifests to improve transport baggage screening. Responses Sought LLNL is seeking industry partner(s) interested in collaborating with LLNL and licensing intellectual property rights to further develop and commercialize LLNL's new Segmentation Ensembles System. Please visit LLNL's Industrial Partnerships Office website at https://ipo.llnl.gov/resources/industry/working-with-us for more information on working with LLNL and the industrial partnering and technology transfer process. Note: THIS IS NOT A PROCUREMENT. Companies interested in partnering with LLNL to further develop and commercialize its Segmentation Ensembles System should provide a written statement of interest, which describes the following: 1. Company name and address 2. The name, address, email and telephone number of a point of contact 3. Expertise and facilities relevant to commercializing this technology 4. Previous experiences in commercializing similar systems and current abilities to bring innovations to the market 5. Sufficient resources to accomplish development and commercialization of the system 6. Interest in performing and/or funding cooperative research at the LLNL. 7. Relevance for LLNL mission and economic development interest 8. Substantial manufacturing and operations presence in the United States. Written responses should be directed to: Lawrence Livermore National Laboratory Industrial Partnerships Office P.O. Box 808, L-795 Livermore, CA 94551-0808 Attention: FBO 304-16 Please provide your written statement within forty-five (45) days from the date this announcement is published to ensure consideration of your interest in LLNL's Segmentation Ensembles System.
 
Web Link
FBO.gov Permalink
(https://www.fbo.gov/spg/DOE/LLNL/LL/FBO304-16/listing.html)
 
Record
SN04029263-W 20160226/160224234346-192168c62f887402094b0416c9708daf (fbodaily.com)
 
Source
FedBizOpps Link to This Notice
(may not be valid after Archive Date)

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