PATENT CLAIM ANALYSIS

Application Number: 15956442
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["235", "470000"]

Abstract:
A space efficient automated processing system for processing objects is disclosed. The processing system includes an input conveyance system for moving objects from an input area in at least an input conveyance vector that includes an input conveyance horizontal direction component and an input conveyance vertical direction component, a perception system for receiving objects from the input conveyance system and for providing perception data regarding an object, a primary transport system for receiving the object from the perception system and for providing transport of the object along at least a primary transport vector including an primary transport horizontal component and a primary transport vertical component that is generally opposite the input conveyance horizontal direction component, and at least two secondary transport systems, each of which receives the object from the primary transport system and moves the object in either of reciprocal directions that are each generally parallel with the input conveyance horizontal direction component and the primary direction horizontal direction component.

Claim (Index 18):
The method as claimed in  claim 17 , wherein the method further includes the step of delivering the object to one of plurality of bins or boxes.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 91.0
- Lexical Diversity: 2.87931
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15835764', '15935835', '15928977', '15824009', '15934462']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6872818230861479
- 35 USC 102 Novelty (BERT): 0.5208069945959221
- Combined Prediction Score: 0.6706343402371253
- Mean Citation Score: 362.068278
- Max Citation Score: 373.1327
- Similarity Product: 283.1048585010409

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