DIAGNOSIS AND MONITORING RESULTS
- KOROVSKI capacitive sensor attached to a collar registers a low-frequency signal from the surface of the cow's skin and transmits it to the server.
- After processing, the signal is compared with a preconfigured signs database to find similarity percentage (%) for each sign.
- A report is displayed in the user interface as "traffic light", showing the diagnostic result with reference to the individual number of the KOROVSKI sensor assigned to a particular cattle individual. A user can generate a report for a specific period.
- The system operates an algorithm similar to a face recognition system. Fragments are selected that presumably contain disease data, from the recorded data stream. Next, the generated "marks" are checked against the database to determine matches, and the result presented as similarity percentage.