Since 1964, Bergen Protective Systems has been serving residents and businesses across New Jersey. Opening its doors in the small town of Leonia, Joseph Cioffi, Jr. moved his company in 1977 to Englewood Cliffs, just across the Hudson River from New York City. His sons, Joe and John, both grew up learning the business, and today, the family continues to meet customers’ needs, using DMP security systems exclusively. Until their recent project at a 28-building gated residential community, John Cioffi says, “It’s not very often that a customer uses the word ‘cool’ to describe their security system. But Virtual Keypad adds that ‘wow factor.’”
RTI, a leading control and automation manufacturer for residential and commercial settings, announced integration with Channel Vision Technology’s Elite Series SI-8000 front door station, allowing it to be used with RTI control devices featuring intercom capabilities.
Lenel is making available LifeSafety Power’s ProWire Unified Power Systems for Lenel OnGuard-connected devices. ProWire is an innovative, next-generation access system that integrates power and panels and is pre-wired for system power, lock power and communication to eliminate hours of installation labor, the company described. Available with capabilities for Lenel OnGuard power monitoring, ProWire’s real-time data monitors the performance of network-connected power, ensuring optimal system operation and up time. Lenel is part of UTC Climate, Controls & Security, a unit of United Technologies Corp.
If responses from more than 30 manufacturers, integrators and other industry practitioners are any indication, share-of-revenue from access control may be picking up.
The battle for the future of biometric modalities in consumer electronics is expected to become fiercer with each passing year as face and iris recognition are continuously gaining strength, threating to soon cannibalize on fingerprint technologies. ABI Research, a market-foresight advisory firm providing strategic guidance on the most compelling transformative technologies, posits that as ASPs for iris modules drop, and the once timid face recognition is continuously honed with more sophisticated machine learning algorithms, they will both slowly start to eat away at fingerprint implementations.
