OBJECT IDENTIFICATION AND COLLECTION SYSTEM AND METHOD

An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of ta...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	DU PREEZ, Jacobus, HOLMGREN, Clifford, RHYS-JONES, Dafydd Daniel, KOLLMORGEN, Thayne, MCMASTER, Dwight Galen, NAYAK, Vivek Ullal, RACINE, Michael, DIMMIT, William David, BUTTERFIELD, Isabelle, FREI, Brent Ronald
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	AEROPLANES AGRICULTURE AIRCRAFT AMUSEMENTS ANIMAL HUSBANDRY APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING,CLIMBING, OR FENCING AVIATION BALL GAMES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROLLING COSMONAUTICS COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY FISHING FORESTRY GAMES HELICOPTERS HUMAN NECESSITIES HUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL PERFORMING OPERATIONS PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION REGULATING SIGNALLING SOIL WORKING IN AGRICULTURE OR FORESTRY SPORTS SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRAFFIC CONTROL SYSTEMS TRAINING EQUIPMENT TRANSPORTING TRAPPING
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a target set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the target set of conditions based on an analysis of the object identification information.