Facial Recognition Makes its Way to Dronedek Mailboxes


The facial recognition market value is expected to reach $8.5 billion by 2025, up from $3.8 billion in 2020, according to Deloitte. The growth is driven by increased acceptance and adoption as people increasingly begin to experience facial recognition in their everyday lives. Common facial recognition uses include unlocking phones, unlocking cars, checking bank accounts and tagging in social media,

Now, facial recognition is on its way to mailboxes. Dronedek is known for its next generation mailbox, a device that secures and temperature-protects traditionally or autonomously delivered food, mail and packages. The company announced a partnership with facial recognition provider Scylla.

Dronedek plans to use Scylla's facial recognition services in select phases of upcoming pilots. The company launched its inaugural pilot program in Lawrence, Indiana, where First-Class mail was delivered to Dronedek smart mailboxes by a U.S. Postal Service mail carrier.

"Our team has been exploring a myriad of access options from QR codes to keys to app-based and the one that gets us the most excited is the idea of facial recognition and being able to unlock the right smart mailbox just like we can with our cellphones now," said Dronedek Chairman and CEO Dan O'Toole.

With Scylla Face Recognition, each person entering the view of the camera is being tracked and identified multiple times. The results are statistically verified and the final decision is based on a reliable output. The face recognition module is able to work in unconstrained environments and various face angles.

“We believe the integration with Scylla's powerful face recognition technology will help provide exceptional customer experience to Dronedek's clients," said Kris Greiner, Scylla's vice president of global sales.

Dronedek may also look into other Scylla features for other use-cases beyond biometric-based access. Scylla offers other AI video analytics solutions such as gun detection, drone security, perimeter intrusion detection, anomaly detection and behavior recognition and smoke and fire detection. 

Edited by Erik Linask
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IoTevolutionworld Editor

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