Facial recognition can help retailer to flag down shoplifters as soon as they enter the store. If the system identifies someone as a known shoplifter, it will send out an alert. This allows the instore personnel to be psychology prepared and take measures to prevent crime from happening. This technology can identify previous individual who shoplifts by capturing their images and match it against the data in our database. Our system will have a folder that stores all the blacklisted images and if the capture images match the blacklisted images, the security team will be notified. In addition, the self-service checkout payment kiosk can also be installed with a facial recognition as part of the verification process. This will add another layer of security to the check-out process to ensure a safe payment gateway.
This technology can be extended to residential properties preferably for condominiums. The usual way of getting past the checkpoint is to proceed to the guardhouse to exchange for a visitor’s pass and record your purpose of visit and time-of visit in the logbook. With the introduction of the facial recognition technology, the visitors only need to scan his face contour against a digital face frame and our image capturing processor will do the rest. The captured images will be process and match against the data in our server. If it matches, access is granted otherwise access is denied. Details such as date and time are also automatically recorded without the need to be keep physical copy of the logbooks. In fact, the technology had evolved to the extent that even with mask or shades, the scan can be performed with an accuracy of 95%.
The financial industry is a sensitive sector with extremely strict regulations however the facial recognition can be used for the automatic teller machine to prevent any crime (robbery, thief) that might occurs near the radius. In the events that anyone encounter a robbery near the ATMs. The authority can directly retrieve the footage for investigation. The monitoring of the surround of the ATMs can be undertaken to provide an additional layer of security to the banking individuals. The police will also need to unload / load cash to the ATMs on a regular basic thus it is vital to step up the security in the neighbourhood estate.
We at SASA surveillance believed that the future for facial recognition in the healthcare industry might falls on the payment check out kiosk. When they are paying for the hospital’s bills, they can scan their face contour to pay via Medisave or directly make claims for their insurance plans. The facial recognition serves as an additional layer of security for them. With the level of security being elevated, the insurance co-operatives can put in more services or packages to the kiosk to allow the public to buy the plan from the Kiosk directly. More comprehensive riders etc it is still better to consult your financial consultant. The underwriter will be able to come up with basic healthcare plan that can be purchase via the kiosk such as Integrated Shield Plan (ISP).
Just like use our safe entry token, when we check in to a shopping mall, the CCTV face capturing images can be used to find out who visit the mall at what time and the frequency. When the customer walks into the mall, his or her face will be captured. When he/she walk around the mall, the movements will be completely record. When they returned, they will be listed as existing customers. With all these cameras being stationed at key point, we will know the customer shopping preferences and allows a deeper insight on the consumer behaviour.