PATENT CLAIM ANALYSIS

Application Number: 16235648
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["340", "529000"]

Abstract:
In a method for detecting carbon dioxide in an enclosed volume, a CO2 detection system is triggered to awaken from a deep sleep state. Once awake, the system queries system sensors to determine the current system parameters, including current CO2 level and temperature. Current and expected CO2 decay rates are calculated, and the system determines whether the current CO2 decay rate is within an expected normal range for an unoccupied enclosed volume. If the volume is static, i.e., not moving, and the CO2 rate is rising and the temperature is rising, a series of alerts are sent to contacts previously set up by the user. If the alerts are not cleared by a user, emergency management personnel are notified.

Claim (Index 7):
A method for detecting a mammal in a volume with a CO2 detection system, the method comprising:\n positioning a CO2 sensor within the volume; when the volume is static, incrementing a timer; when the timer is greater than a stabilization value, querying the CO2 sensor and determining whether an obtained CO2 decay rate is outside of an acceptable range; if the obtained CO2 decay rate is outside of an acceptable range, determining whether a temperature in the volume is within an acceptable range; if the temperature in the volume is outside of the acceptable range, determining whether the CO2 level is not decaying fast enough; and if the CO2 level is not decaying fast enough, sending one or more notifications to one or more potential responders.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 98.0
- Lexical Diversity: 1.9
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15812846', '15178997', '15423340', '11204482', '12932468']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6327370714166446
- 35 USC 102 Novelty (BERT): 0.5181024465472228
- Combined Prediction Score: 0.6212736089297024
- Mean Citation Score: 131.4361542
- Max Citation Score: 284.26773
- Similarity Product: 202.2454564435923

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

Dataset: test