PATENT CLAIM ANALYSIS

Application Number: 16243660
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "305000"]

Abstract:
A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

Claim (Index 5):
The method of  claim 4 , wherein determining that the unrecognized object is one of the first object or the second object comprises:\n determining an other object recognized in the image matches a first object in an other image; determining the unrecognized object in the particular image is at the relative location relative to the other object in the particular image; determining the second object in the other image is at a same relative location relative to the first object in the other image and in response, determining the unrecognized object is the second object.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 99.0
- Lexical Diversity: 1.98276
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15247542', '14541437', '15396105', '15150995', '15069827']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.308567178299136
- 35 USC 102 Novelty (BERT): 0.516883576599335
- Combined Prediction Score: 0.3293988181291559
- Mean Citation Score: 204.677422
- Max Citation Score: 282.3206
- Similarity Product: 202.5637098684549

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test