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By Rich Handley

Global Net Solutions Offers IoT Badge-Based Security System

Global Net Solutions (GNS), a provider of facilities-based smart security and business intelligence solutions, has unveiled its S-Badge, an IoT-based security solution designed to improve safety and tackle insider threats and breaches in high-security environments. This includes airports, hospitals, school districts, college campuses and government agencies.

The S-Badge solution leverages a multi-sensor Bluetooth Low Energy (BLE) beacon, multiple data sensors and high-frequency (HF) RFID technology to track individuals, 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.

The S-Badge leverages IoT technology, artificial intelligence (AI) and machine learning. The proprietary solution utilizes a system of onsite LoRa gateways, as well as an authentication badge that verifies a user's identity based on location, a biometric signature and a preprogrammed NFC chip. The badge also features a panic button to discreetly signal an emergency, along with the badge's 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, GNS's director of business development, in a prepared statement. "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's three-factor authentication process provides high security, the company reports, while solving problems that plague existing systems, such as badge abuse and lost or stolen badges. This process includes biometric authentication (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), location authentication (the S-Badge communicates with surrounding gateways to verify its authenticity and exact location at any time) and secure element authentication (an individually programmed NFC chip verifies whether the user is authorized to access a specific area or assets).

The badge utilizes AI and machine learning to create a prediction model that can help to identify threats in real time, based on past behavior and location data. When the prediction model recognizes unusual behavior, such as someone spending too much time in a restricted area, the system can send an alert to security personnel to notify them of a potential problem.

"Existing systems and standards are riddled with flaws—they're simply outdated. Also, there is a gold mine of data that, up until now, has been completely ignored," Elias said in the prepared statement. "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."

Furthermore, the S-Badge features a LoRa transceiver module (a low-power, long-range radio for communication with gateways located up to five miles away), a panic button (users can discreetly signal an emergency along the badge's exact current location), a flexible infrastructure (a cloud-based or on-premises server infrastructure giving customers complete control, liability and security of their own data) and wireless charging (a capability via an NFC wireless charging pad).

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