Detect any fraudulent activities through biometric verification
SF-Blacklist Identification is our biometrics blacklisting solution used for fraud prevention and detection that frequently occurred related to Employees and Contract Labor in the mining industry (such as coal, oil, etc). Just like how fingerprints are used for identity verification, face and iris can also be used to protect against and solve crime.
After the system records a user’s biometrics modalities (fingerprints, face, and iris) then followed by issuing biometric-based QR Code or can be centralized biometric-based database searching for gate passes, that is the technology that automatically cross-checks every entrant with the blacklist database to identify fraudsters.
Effectively Fight Gate Entry Fraud
Several risks that many mining companies are facing in the field areas includes:
● same employee or contract labor entering more than one exploring areas which are owned by different companies. The purpose is to get multiple pay from different companies.
● On the other hand, a company also gets incorrect data of the number of employees or contract laborers that are actively and actually working for its own field area at the time or on that day.
By using our biometrics blacklisting solutions can keep your business safe from this kind of tricky actions done by those laborers or employees, through an easy way and accurate identity verification and improved security without the need of human beings involvement.
All you need is just put a face, or iris, or fingerprint scanner in the entry gate which is connected to a centralized database. Besides this, you may also put a QR Code scanner in the entry gate to scan Biometric-based QR COde Cards.
It marks those entrants that are scored higher than the threshold score and identifies listed fraudsters by their biometric (fingerprint, or face, or iris) comparing the captured biometric with biometric-prints stored in the blacklist biometric-print database. Thus, it detects fraudsters through biometric verification and triggers alarms to fraud teams in the company.