PATENT CLAIM ANALYSIS

Application Number: 15906402
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["083", "013000"]

Abstract:
A saw with a monitoring and safety system that utilizes vision and sensors designed to provide user feedback on safety and training. The saw having a wheel formed of an anodized main body with a non-anodized surface extending along the circumference of the groove of the wheel. The saw having low inertial energy design to stop the blade without mechanically grabbing the blade assuring multiple points of safety detection and triggering. The saw having an automatic guard to protect the user from slipping and hitting the blade even when the saw is not running. The saw being connected to a cloud based system that enables a safer ecosystem and cross statistic sharing of safety parameters.

Claim (Index 2):
A safety saw system comprising:\n a motor; a first wheel coupled to the motor; a second wheel; a blade; a detector; and a controller, wherein\n the first wheel and the second wheel each comprise a first lip and a second lip sandwiching a groove therebetween, \n the first wheel is formed of an anodized main body with a non-anodized surface extending along a circumference of the groove of the first wheel, \n the blade is wrapped around the first wheel and the second wheel such that the blade is positioned within the groove of the first wheel and within the groove of the second wheel, and \n the controller is configured to stop the motor in response to an input to the detector indicating an abnormal condition of the safety saw system.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 1.66667
- Patent Class: 83.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15506914', '15515180', '14556948', '16333080', '10100211']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7734740126496679
- 35 USC 102 Novelty (BERT): 0.4831561513478035
- Combined Prediction Score: 0.7444422265194814
- Mean Citation Score: 169.41663599999995
- Max Citation Score: 210.18398
- Similarity Product: 150.85509440387366

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