Described is a real-time meat inspection system developed for the beef processing industry by eMerge Interactive. Designed to detect and localize trace amounts of contamination on cattle carcasses in the packing process, the system affords the beef industry an accurate, high speed, passive optical method of inspection. Using a method patented by United States Department of Agriculture and Iowa State University, the system takes advantage of fluorescing chlorophyll found in the animal's diet and therefore the digestive track to allow detection and imaging of contaminated areas that may harbor potentially dangerous microbial pathogens. Featuring real-time image processing and documentation of performance, the system can be easily integrated into a processing facility's Hazard Analysis and Critical Control Point quality assurance program.
This paper describes the VerifEYE carcass inspection and removal verification system. Results indicating the feasibility of the method, as well as field data collected using a prototype system during four university trials conducted in 2001 are presented. Two successful demonstrations using the prototype system were held at a major U.S. meat processing facility in early 2002.
Wavelet transforms are commonly used in signal processing to identify local signals in both the time and frequency domain. The application described in this paper uses this concept to show that wavelets of similar DNA sequences converge whereas wavelets of dissimilar DNA sequences diverge. To demonstrate this conclusion, several DNA sequences from different organisms were retrieved form John Hopkins University's Genome Database. Statistical tests were applied to these sequences to measure the degree of similarity. Subsequently, a series of wavelet transforms were applied to the DNA sequences. As a result, the wavelet transforms were found to converge on sequences containing identical proteins and were found to diverge on sequences containing dissimilar ones. A description of the algorithm and statistical tests are provided in addition to analytical results. Application of this wavelet analysis technique has shown to be more efficient than the standard homology search algorithms currently being used. The algorithm has O(Nlog(N)) time complexity whereas standard search algorithms have O(N<SUP>2</SUP>) Time complexity. Hence, wavelet transforms can be used to quickly locate or match common protein coding in DNA sequences form large medical databases.
In this paper we describe an approach and present results from a recently developed system that produces video-rate, 3D maps of the image space using a scanning laser configuration and a patented micro-channel plate intensified detector. The scene is viewed from a separate location to provide depth information via triangulation. The detector provides an estimate of position of the apparent landing spot of the laser beam for each scan angle from which a depth estimate is calculated. The system is designed to scan an approximate 15 X 15 degree field-of-view at distances from 1.5 to 2.5 meters with a resolution of 1.5 cm at rates of 10 - 30 full images per second, and can accommodate range gating to reduce scattered light interference.
Recently developed undersea imaging systems are cable of providing three-dimensional surface maps of the image space using a scanning laser configuration. Triangulation methods, whereby the scene is viewed from a separate location, provide depth information, while instantaneous position of the laser scanning elements are used to estimate the lateral position in object space. A specially developed detector provides an approximate position for the apparent landing spot of the laser beam for each scan angle, which in turn, is used to compute an estimated range value in real time. Several prototype systems constructed using these techniques are in a testing phase. One system reported here is designed to scan a 10 by 10 degree field-of-view with a 10 milliwatt laser at distances from 20 to 40 centimeters with a resolution of less than 1 millimeter.