PATENT CLAIM ANALYSIS

Application Number: 16140953
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["348", "046000"]

Abstract:
Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Claim (Index 7):
The method of  claim 1 , wherein the messages comprise instructions to take action, and the instructions to take action are selected from the group consisting of instructions to (i) move the dimensioning system or the object in a particular direction, (ii) move the dimensioning system or the object at a particular speed, and (iii) cease moving the dimensioning system or the object.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.77647
- Patent Class: 348.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14870488', '15182636', '16139900', '14928032', '14747490']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7312606830706226
- 35 USC 102 Novelty (BERT): 0.5370045317792176
- Combined Prediction Score: 0.7118350679414821
- Mean Citation Score: 323.97573399999993
- Max Citation Score: 394.14914
- Similarity Product: 316.67907496090413

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test