| # | Country | Total Patents | |
|---|---|---|---|
| #1 | United States | 7 | |
| #2 | Canada | 2 | |
| #3 | EPO (European Patent Office) | 2 | |
| #4 | WIPO (World Intellectual Property Organization) | 2 | |
| #5 | China | 1 |
| # | Industry | |
|---|---|---|
| #1 | IT methods for management | |
| #2 | Control | |
| #3 | Telecommunications | |
| #4 | Computer technology |
| # | Technology | |
|---|---|---|
| #1 | Data processing systems | |
| #2 | Wireless communication networks | |
| #3 | Alarm systems | |
| #4 | Registering devices | |
| #5 | Specific computer systems | |
| #6 | Electric digital data processing |
| # | Name | Total Patents |
|---|---|---|
| #1 | Tallon Jonathan | 8 |
| #2 | Dickerson Bryan | 7 |
| #3 | Gagliardi Emanuel | 6 |
| #4 | Daute Christopher | 6 |
| #5 | Bodden Gregory | 6 |
| #6 | Bares Jill | 6 |
| #7 | Sutcliffe Gary Charles | 5 |
| #8 | Tallon Jonathan Michael | 5 |
| #9 | Sutcliffe Gary | 2 |
| #10 | Greenawalt Kenzie | 1 |
| Publication | Filing date | Title |
|---|---|---|
| US2019114574A1 | Machine-learning model trained on employee workflow and scheduling data to recognize patterns associated with employee risk factors | |
| US2017024683A1 | System and method to track time and attendance of an individual at a workplace | |
| US9454751B1 | System and method to track time and attendance of an individual at a workplace for a scheduled workshift |