Showing papers on "Object detection published in 1974"

Object detection system having fault detection function

Abstract: An object detection system using ultrasonic wave pulses, in which ultrasonic wave pulses are repeatedly generated from a sending transducer at desired intervals so that an object is detected by detecting, at the output of a receiving transducer, ultrasonic wave pulses reflected from the object by the use of receiving gate pulses synchronized with said desired intervals. In accordance with this invention, the timing slot of the receiving gate pulses is advanced at at least start instant thereof by a wobbler so that ultrasonic wave pulses directly propagated from the sending transducer to the receiving transducer is effectively detected to indicate in a fail-safe manner whether or not the object detection system is normal without substantial fault. The advance shift of the receiving gate pulses is manually or automatically performed.

A Computer-Controlled Rotating-Belt Hand for Object Orientation

Abstract: Semiautomated tasks frequently require humans to perform highly repetitive boring jobs such as placing objects into machine fixtures. The use of an electromechanical hand design is discussed which may operate in conjunction with industrial robots, part feeders, and minicomputers to perform some of these jobs. Flexibility is achieved with the same hardware by using different control algorithms for differently shaped objects. The design principle which permits simplicity is that the motion which is used to adjust object orientation is also instrumental in the detection of orientation. A ``hand'' was built and a control algorithm to orient a specific object was developed. The control algorithm first recognizes orientation by computing asymmetries and then conditionally adjusts a positional servomechanism in the hand to bring the object to a standard orientation. Tests verified hand performance and indicated restrictions on object shape. Regardless of the initial angle (360° range) about the uncontrolled axis, the computer-controlled hand adjusted this angle to within ±3°. For the prototype, object shape is primarily restricted by the requirement that objects must have their principal axes directed to within ±10° by conventional part feeders and sorters.

Boundary and object detection in real world images

Abstract: A solution to the problem of automatic location of objects in digital pictures by computer is presented. A self-scaling local edge detector which can be applied in parallel on a picture is described. Clustering algorithms and boundary following algorithms which are sequential in nature process the edge data to locate images of objects.