PointGrab Joins Cisco Digital Ceiling Initiative For Smarter Buildings

PointGrab has joined the Cisco Digital Ceiling framework as a partner for developing building automation solutions over one IP network. The Cisco Digital Ceiling is an IoT-based solution that connects building services in a single, converged IP network through an extensive ecosystem of leading-edge technologies. PointGrab’s edge-analytics smart sensor, CogniPoint™, complements the Cisco Digital Ceiling framework by providing industry-leading occupancy analytics with low cost and intelligent connectivity to ensure that organizations are able to make better, more informed decisions affecting building management.

Cisco Digital CeilingIt Takes An Ecosystem

As a member of the Cisco Digital Ceiling framework, PointGrab will collaborate with leading organizations to drive toward smarter, connected, and more secure buildings. These leaders from lighting, building automation, and other technology disciplines reflect an integrated approach to the digitized building, ensuring that building operators and occupants get optimal results. PointGrab joins Cisco Digital Ceiling partners such as Philips and Cree for lighting, Johnson Controls for building automation, and Relayr for ISVs, among others.

“The quality and breadth of information available for digital building management is determined by the smart sensor’s data capture and analysis, making sensors a critical technology for smart buildings,” said Itamar Roth, Chief Business Officer, PointGrab. “PointGrab’s inclusion in the Cisco Digital Ceiling partnership is a welcome recognition of the CogniPoint sensor’s unique contribution to next generation building automation.”

CogniPoint Deep Learning-Based Sensor Technology

By embedding deep learning technology into optical sensing devices, PointGrab’s CogniPoint sensor provides unprecedented analytics precision in the detection of occupants’ locations, count, and movements, thus enabling effective office space management and enhancing buildings’ operations efficiency. The sensor is a miniature network-connected device, running state-of–the-art deep learning algorithms on a low-cost embedded ARM-based processor.