Abstract: A method and system for assessing an amount of a blood component of a volume of fluid within a canister, the method comprising: receiving an image of the canister generated by the image acquisition device; selecting a first region of the image exhibiting substantially uniform color, wherein the first region of the image corresponds to a layer of fluid situated between a wall of the canister and a first feature of an insert retained in position within the canister; determining a color parameter representative of the first region; determining a concentration of a blood component within the canister, based upon the color parameter; upon determining the volume of fluid of fluid within the canister, generating an analysis informative of an amount of the blood component within the canister; and providing information derived from the analysis to an entity associated with an individual from whom the volume of fluid originated.

Abstract: A method and system for assessing an amount of a blood component of a volume of fluid within a canister, the method comprising: receiving an image of the canister generated by the image acquisition device; selecting a first region of the image exhibiting substantially uniform color, wherein the first region of the image corresponds to a layer of fluid situated between a wall of the canister and a first feature of an insert retained in position within the canister; determining a color parameter representative of the first region; determining a concentration of a blood component within the canister, based upon the color parameter; upon determining the volume of fluid of fluid within the canister, generating an analysis informative of an amount of the blood component within the canister; and providing information derived from the analysis to an entity associated with an individual from whom the volume of fluid originated.

Abstract: A computerized “smart card” which has a read/write memory and formatted data storage blocks is used to track the life history of one or more associated machine(s) (e.g., vehicles, medical instrumentation and apparatus, business and copying machines, etc.). The smart card can store a variety of information including machine identification, hardware/software specifications, debit/credit, regulated performance, warranty/insurance, maintenance/service and operational transactions that might impact the hardware, software or the intended operation or performance of the machine. The smart card will be equipped to interact with any of a plurality of autonomous reader/writer smart card units and computer-based reader/writer smart card units that may be equipped to interact with any of the plurality of computer databases through the utilization of land or wireless communications links.

Abstract: A computerized “smart card” which has a read/write memory and formatted data storage blocks is used to track the life history of one or more associated machine(s) (e.g., vehicles, medical instrumentation and apparatus, business and copying machines, etc.). The smart card can store a variety of information including machine identification, hardware/software specifications, debit/credit, regulated performance, warranty/insurance, maintenance/service and operational transactions that might impact the hardware, software or the intended operation or performance of the machine. The smart card will be equipped to interact with any of a plurality of autonomous reader/writer smart card units and computer-based reader/writer smart card units that may be equipped to interact with any of the plurality of computer databases through the utilization of land or wireless communications links.

Abstract: A system tracks human head and facial features over time by analyzing a sequence of images. The system provides descriptions of motion of both head and facial features between two image frames. These descriptions of motion are further analyzed by the system to recognize facial movement and expression. The system analyzes motion between two images using parameterized models of image motion. Initially, a first image in a sequence of images is segmented into a face region and a plurality of facial feature regions. A planar model is used to recover motion parameters that estimate motion between the segmented face region in the first image and a second image in the sequence of images. The second image is warped or shifted back towards the first image using the estimated motion parameters of the planar model, in order to model the facial features relative to the first image.

Abstract: A system tracks human head and facial features over time by analyzing a sequence of images. The system provides descriptions of motion of both head and facial features between two image frames. These descriptions of motion are further analyzed by the system to recognize facial movement and expression. The system analyzes motion between two images using parameterized models of image motion. Initially, a first image in a sequence of images is segmented into a face region and a plurality of facial feature regions. A planar model is used to recover motion parameters that estimate motion between the segmented face region in the first image and a second image in the sequence of images. The second image is warped or shifted back towards the first image using the estimated motion parameters of the planar model, in order to model the facial features relative to the first image.