Edge better protects biometric data

Montgomery says cameras typically collect face recognition data and store it on servers, but today, devices like Honeywell’s 70 Series video surveillance cameras include face recognition chips that process the data at the edge. .

“Instead of a heavy, sturdy machine for processing video data or network centerNow it can be done from a small laptop,” he says.

Montgomery says that having edge processing in the cameras reduces total cost of ownership by 30 percent.

“The more cameras you put in, the more network infrastructure you need,” he says.have edge processing This means significant cost savings.”

Meckler says that a mapping process in biometrics allows universities to store a geometric map of the biometric data rather than an actual image.

“They don’t store a picture of your face or a picture of your finger,” he says. “They map it.”

Read more: How is higher education preparing for quantum computing?

Campus IT then deletes the images and archives the maps.

“This does two things: it’s a lot less storage, but, more importantly, your face or your finger can’t be reconstructed from the map,” says Meckler.

As students enter residence halls, their badges are scanned along with biometrics such as their face or palms. a campus network Collects data points and vectors that are turned into a mathematical equation instead of faces, says Montgomery.

“Each person’s face is a different mathematical equation, and it is stored in the same way,” he says. “It cannot be re-engineered as a face. You just have a bunch of ones and zeros.

Meckler says users can also use the facial and fingerprint recognition capabilities on their mobile phones to open doors.

“Building access control systems have a mobile credential feature,” he says. “And it allows someone to use their phone as a credential. Typically, this will be a Bluetooth reader or a near-field reader in a reader.

Leave a Reply

Your email address will not be published. Required fields are marked *