Global Net Solutions Unveils IoT S-Badge


Global Net Solutions S-Badge safety and security solution uses AI and machine learning for campus and corporate security.

Facilities-based smart security and business intelligence solution provider Global Net Solutions (GNS) has announced the launch of their S-Badge, an IoT-based smart ID badge that is designed to improve security in high-security environments such as airports, government agencies, hospitals, school districts, corporate facilities and college campuses.

See also: Consumers concerned about IoT device security

The S-Badge uses a multi-sensor Bluetooth low energy beacon, RFID tracking technology, and multiple data sensors to track people, property, and assets indoors and out. Each badge is scratch proof and water resistant and features a printed photo ID. The company says it uses IoT technology, AI and machine learning through a biometric signature, preprogrammed NFC chip, and LoRa gateways in an all-in-one authentication badge that also features a panic button for emergencies.

“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 henhouse, 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.”

According to the release, key features include:

  1. 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
  2. Location Authentication – the S-Badge communicates with surrounding gateways to verify its authenticity and exact location at any time
  3. Secure Element Authentication – an individually programmed NFC chip verifies whether the user is authorized to access a specific area or assets

The AI and machine learning used by the badge is also used to create a prediction model that can identify threats in real-time based on location and previous behavior. When it recognizes unusual behavior it instantly alerts security personnel. For privacy reasons, the badge cannot be tracked offsite.

Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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