Gooee, the world's first 'Full-Stack' operating platform to connect lighting manufacturers to the Internet of Things (IoT), announced today a partnership with PointGrab, a leading provider of an intelligent edge-analytics sensing solution. By connecting PointGrab's deep-learning based sensor, CogniPoint, into Gooee's ecosystem, and streaming the data to Gooee's cloud, the partnership aims to enhance the building automation industry through real-time intelligence and energy efficiency.

In the new era of the Internet of Things, there is opportunity to introduce a new approach to building automation that provides real-time intelligence and control. This innovation aims to yield true smart buildings that are efficient, save energy, optimize facility management, enhance safety and security, generate business intelligence and improve occupants' experience.

Simon Coombes, CTO and co-founder of Gooee, says "Alongside our IoT sensor, the PointGrab sensing platform will generate a rich dataset that we expect will lead to several energy saving opportunities and the optimization of smart buildings."

PointGrab's CogniPoint, an edge-analytics sensing solution, provides occupants' presence, count and positions in a miniature form factor. By utilizing advanced deep learning neural networks technology, the device delivers actionable analytics for optimizing building operations, space management, energy savings and business intelligence.

"Due to the increased demand for intelligent and more efficient buildings and following the rapid adoption of IoT, smart sensors are essential to today's building automation capabilities," said Itamar Roth, Chief Business Officer of PointGrab. "Integrating our technology into Gooee's eco-system expands our market reach and enables customers to access the complete joint solution."

For Gooee, this is the first integration of third party technology into its ecosystem, but more is to come according to Coombes: "We are exploring additional ways to enrich datasets that can be generated from a building environment, and have begun other integrations that will enhance both user experience and yield a rich presentation of data that can offer insights and suggestions on energy savings."