Smart Locks: Exploring Lockly's Innovative Zeno Series
Smart Locks: Lockly's Innovative Zeno Series
Smart locks are gaining attention with Lockly's latest Zeno series, which includes the PIN Genie Pro, Secure Pro, Visage, and Vision. Each smart lock is compatible with Amazon Alexa, Apple Home (including Home Key), and Google Home, providing users with seamless integration into their smart home systems. Lockly's patented PIN Genie numeric keypad enhances security by shuffling number arrangements after use, making it nearly impossible for observers to glean entry codes. With various means of access, the Visage model even introduces binocular facial recognition technology, elevating user convenience and security.
Design and Features of the Zeno Series
Lockly has achieved a 35% reduction in size compared to previous models, enhancing both aesthetics and functionality. The Zeno series connects directly to Wi-Fi, eliminating the need for additional hubs or bridges, ensuring users can access their locks from anywhere with broadband. In case of internet loss, a one-time-use offline access code can still grant guests entry, with the option of using a physical backup key.
- Lockly PIN Genie Pro: Entry-level model priced at $229, features the PIN Genie keypad and supports mobile app connectivity.
- Lockly Secure Pro: Available for $329, adds a 3D biometric fingerprint reader recognizing up to 99 fingerprints.
- Lockly Visage: At $349, the world's first smart lock with facial recognition capable of memorizing 100 unique faces.
- Lockly Vision: Priced at $429, this model combines a smart deadbolt with a video doorbell and integrates a 2K night-vision camera.
All models are available for pre-order on Lockly's website, with physical availability at Home Depot. As part of TechHive's comprehensive coverage of smart locks, Lockly's Zeno series represents a significant evolution in home security technology.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.