PATENT CLAIM ANALYSIS

Application Number: 15883980
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["348", "143000"]

Abstract:
A container having a compactor and bin for waste is disclosed permitting on-premises and remote monitoring of the system and collection is disclosed. The system can also detect non-complaint materials placed therein and act thereon. Methods are further disclosed for inventorying identification tags for tracking packages, merchandise and tags disposed of.

Claim (Index 1):
A method for disposing of waste including packages bearing an electronic tag comprising the steps of:\n providing a package with an electronic tag having identifying information relating to the weight of the package when empty; providing a waste container for disposing of the package, the waste container having a door moveable from an open condition to a closed condition and a sensor for generating a signal to indicate the door is in the open condition or the closed condition; providing an antenna and reader for the waste container for reading the weight information on the electronic tag placed in the waste container; collecting the weight information associated with the electronic tag in the container; and compacting the package with a compactor having a ram in response to the signal the door is in the closed condition.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 86.0
- Lexical Diversity: 1.34146
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12035305', '12035317', '15406970', '14269771', '13895138']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6530927523364167
- 35 USC 102 Novelty (BERT): 0.5238246857236609
- Combined Prediction Score: 0.6401659456751412
- Mean Citation Score: 266.13347400000004
- Max Citation Score: 347.43253
- Similarity Product: 260.1021173386681

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

Dataset: test