Global Net Solutions develops biometric badge system
23 February 2018 14:15 GMT

Global Net Solutions (GNS) has developed an IoT-based biometric security solution designed for high security environments. 

Called S-Badge, the firm desribes its product as the world’s first security system leveraging a multi-sensor Bluetooth low energy beacon, multiple data sensors and High Frequency RFID technology to track people, property and assets with location monitoring in indoor and outdoor settings.

Each badge is individually customized with a printed photo ID on a scratch-proof and water-resistant beveled surface. 

"Unlike other systems, the S-Badge leverages the latest IoT technology, artificial intelligence (AI) and machine learning to enhance security and unlock an entirely new range of functionality and data that go far beyond today’s standards", said the company.

The solution utilizes a system of on-site LoRa gateways and a battery-smart, all-in-one authentication badge that verifies a user‘s identity based on location, a biometric signature and a preprogrammed NFC chip. The S-Badge also features a panic button to discreetly signal an emergency, along with the badges’ location.

“We’re living in a time when security and privacy have never been more important, yet no company is tracking people once they’re in the door,” said Michael Elias, director of business development, Global Net Solutions. “Existing systems let the fox in the hen house, so we developed the S-Badge. Now you can be 100% sure of who is accessing what, where and when, without risk of security breaches from negligence, oversights or abuse. Most importantly, we only track individuals when they are within the campus or facility, not at home or off duty.”

The S-Badge must be activated using advanced fingerprint verification, which also measures moisture, temperature and electricity in the live skin to ensure that only the authorized individual can activate the badge

Meanwhile, it also communicates with surrounding gateways to verify its authenticity and exact location at any time

To further enhance security, the S-Badge utilizes advanced AI and machine learning to create a prediction model, which can help identify threats in real time based on past behavior and location data. When the prediction model recognizes unusual behavior – like spending too much time in a restricted area – the system can send an alert to security to notify a potential problem.

“Existing systems and standards are riddled with flaws – they’re simply outdated. Also, there is a goldmine of data that, up until now, has been completely ignored,” Elias added. “What we came up with is the first complete system designed to work in any environment – it’s scalable, easy to use and can be deployed immediately.”

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