Identification and Profiling for Smart Buildings, Offices and Retail

Our Smart sensor solutions are made up of Intelligent sensor devices, gateways and data analytics tools. At the heart of UbiqiSense systems are UBIcapture devices, while connectivity to building automation is enabled by the UBIgateway.


UBIcapture devices observe and extract information about people and objects seen by the device. All devices are equipped with Intelligent motion sensing and remote configuration capabilities. Furthermore, devices can optionally be provisioned with advanced computer vision and data extraction services such as locationing, identification, profiling to enable a suite of Smart applications like Smart Buildings, Smart Offices and Smart Retail.


Identification and Profiling for Smart Buildings, Offices and Retail


Intelligent motion sensing

Exclude irrelevant motion behind doors and windows


People and object counting


Footfall analysis of traffic flows


Location and direction coordinates

Location and speed heatmaps

Multisensor accurate positioning


Posture of each object: walking, standing, sitting or lying down


Notify when doors or windows areo pen while room is empty

Notify when whiteboards are not cleaned after meeting


Measure of light intensity


System provisioning

Room calibration

Device installation and management

User management

IoT Sensors and Software – UBI equipment

smart room


UBIcapture are small, discreet devices, that are deployed throughout your building. Every device is AC-powered and interfaces to a UBIgateway via WiFi connectivity.

UBIcapture is equipped with a visual sensor and artificial intelligence. Captured images are processed by the embedded computer vision algorithm and only meta-data is transmitted from the device. Images are NEVER stored or transmitted by any sensor.

Please note for some use cases like person identification and accurate object positioning, we recommend the deployment of more than one device per room.

image sensor


UBIgateway is the bridging device that connects capturing devices to building automation software and cloud data. The interface to building automation systems is based on BACnet/IP protocol, while the interface to the cloud is IP based.

Each gateway is capable of supporting more than 50 capture devices – subject to the computational load of licensed features.

Building sensor


We use either local or cloud services for storing, analyzing and visualizing data. Not all our features require cloud processing; it depends on your use case.

We also allow new devices and new users to be managed remotely using cloud services.

We currently support AWS as our cloud service.

Machine Learning and IoT Technologies


Visual sensor captures an image of what is in front of the sensor


Embedded Intelligence empowers sensor with deep learning capability

Advanced computer vision techniques extract information form captured images


Wireless connectivity between sensors and gateway

BACnet/IP interface to building management software and IP protocol to the cloud

Storage & Analytics

Big data storage of captured data as well as advanced analytics tools is either carried out locally or is cloud-based

Workplace Management Software

Embedded Intelligence technology?

  • The development of computer vision and artificial intelligence is progressing at a rapid pace in many industries. We are seeing tremendous growth of low cost IoT devices and workspace occupancy sensors being deployed. Meanwhile the data storage and processing capacity of the cloud enables use cases that we didn’t know were possible only a decade ago. It is all good, but there is a caveat. Lack of scalability.
  • Imagine lots of IoT devices surrounding us, all capturing real-time data in need of real-time processing. In particular, visual sensors may depend on the cloud for image processing requiring tremendous bandwidth and processing power. It is just not feasible to have billions of IoT sensors sending hi-resolution images to the cloud all the time. (By the way, you should also be concerned with privacy and security of transmitting images over the internet.)
  • Instead, we have taken another approach by putting the visual processing capability inside each sensor device. We call our system architecture “Embedded Intelligence”. Our capturing devices never store nor transmit raw images. Instead, a captured image is processed inside the device, while only metadata is being transmitted.
  • Metadata from workspace occupancy sensors and other IoT devices could be how many individuals are seen by the device, where are they located, or how fast are they moving. Computer vision algorithms in the device can also create an anonymous profile telling more about observed individuals, like gender, age and posture. All based on people counting sensors and simple visual imaging.
  • Our Embedded Intelligence products are designed with capability and scalability in mind but certainly also low cost. We have adopted camera modules and image processors from the mobile phone industry, because these components allow us to build products at unprecedented low price points.