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DATA SHEET

Occupancy Intelligence for Portfolio Optimization

Introduction

Occupancy Intelligence for Portfolio Optimization allows real estate leaders to reduce costs by correctly sizing where they need more office space and where they need less. Capture people count across your portfolio, and leverage AI to generate insights around total occupancy, people count distribution, percentage of time across the portfolio, and occupancy by day of the week. It’s portfolio right-sizing based on hard data.

Entryway Sensors (EN-1 Model)

Our wired EN-1 entryway sensors serve as the foundation for our Occupancy Intelligence for Portfolio Optimization solution. Analytics and insights provided by this solution give an accurate count of how many people are in your building and on each floor. This helps you right-size your portfolio for today’s world of inconsistent occupancy.

Capture

EN-1 entryway sensors capture people count with 95% accuracy, so you will have data you can rely on from proven technology that is hardened and future-proofed. They are also outfitted with the industry’s strongest computer vision.

Computer Vision

All VergeSense sensors leverage computer vision technology to accurately identify the shapes and coordinates of human beings entering and exiting spaces. Unlike WiFi and Badge data, which double-count devices and only measures attendance data, computer vision captures actual human behavior so you can trust that you’re making decisions on sound data. 

With computer vision, our sensors anonymously measure what is happening, not faces, words, or personally identifiable information, so you can feel confident your teams’ privacy is always protected. VergeSense uses E.L.S. (edge-processing, low resolution, secure) optical technology to ensure that what’s captured by our sensors is destroyed on the device.

Analyze

The analyze layer of the VergeSense Occupancy Intelligence Platform generates a true understanding of how your spaces are actually being used by evaluating your data and generating contextual insights. This means that you can reduce the amount of time spent trying to make sense of data and spend more time using actionable insights to optimize your workplace for cost savings and improved employee experience.

VergeSense AI

VergeSense AI is an artificial intelligence engine that analyzes the data captured from our capture layer and third-party sources to generate actionable insights through a cloud-based application and developer tool kit. VergeSense AI helps you find the truth within your data and gain a true understanding of how your spaces are actually being used like how many people are using certain buildings, floors, and spaces, how they’re using them, and the times, days, and frequency of each.  

People Count

VergeSense AI continuously analyzes your data to generate a true understanding of people count at scale across your entire portfolio so you can stop relying on low-fidelity WiFi tracking, badge data, manual studies, and assumptions.

Platform Updates

VergeSense AI learns your spaces and consistently gets smarter over time as it analyzes the relationship between your people, objects, and spaces. Weekly software updates ensure you have the latest technology to take command of your occupancy. 

Cloud Portal

Understand the trends across your portfolio and within your spaces. Our Cloud Portal synthesizes behavioral data into high-impact, actionable insights that are accessible through use case-specific dashboards or our open API so you can make important space decisions with confidence. Integrate VergeSense occupancy data with third-party workplace applications to enable and orchestrate critical workflows.

Open APIs

Easily access occupancy data through our Open APIs so you can make powerful decisions with your own tools. Access all of the data that VergeSense has captured and analyzed to leverage the BI tools and data infrastructure your team uses to make decisions. 

Insights Dashboards

VergeSense organizes historical and real-time data into curated dashboards so you can easily analyze what’s happening and optimize your portfolio and workspaces with confidence. People count insights aggregated across your portfolio, buildings, and floors provide a true understanding of 

  • People count distribution
  • Percentage of time spent across the portfolio
  • Occupancy patterns by day of the week.
Integrations

With 45 out-the-box integrations with the top IWMS, Space Booking, Workplace Analytics, Building Management, Wayfinding, and Calendaring platforms in the industry, you can integrate your occupancy data across your workplace applications, and use a single view to reduce costs, improve space usage, and automate critical workflows.  

Data Architecture, Privacy, and Security

To ensure privacy and security, VergeSense passes a low-resolution view from the optical sensor directly into a Computer Vision Machine Learning processor on the sensor.

The image resolution of the view is too low for any form of facial recognition or reading of text. This low resolution is by intent to ensure that no personal identification information is captured.

The Machine Learning process generates a JSON-formatted event. The event message contains no contextual location information. 
Only information about the sensor, the  detection status, the timestamp, and the space type identification is contained in the message.

The detection information is transported via HTTPS/MQTT in a TLS 1.2 encrypted message.

The message is transferred via an Ethernet PoE connection.

The occupancy information is visualized in the VergeSense cloud dashboard, where it can be augmented with contextual information from other sources to provide a spatially intelligent view of space occupancy.

APIs are available to export the spatial occupancy information to other tools that may wish to receive this information.

Technical Specifications

EN-1 Entryway Sensor (2023 Model)

Connectivity
  • Ethernet 802.3af
  • Min. bandwidth: 100 KB/s (Configuration, live view provides limited fps)
  • Data transmission: <20KB/s
Power
  • Power over Ethernet (PoE)
  • Power Consumption: Class 0
  • ~6 W (max), 0.125A
Deployment
  • 1 sensor per entryway (room, floor, or building occupancy)
  • Max deployment height: 19.69ft (6.0m)
  • Optical Sensor
  • 3D Stereo Vision
  • Min. 2 lux operating brightness
Mounting
  • Anchor screws
  • Device screw-holes for mounting to 4” Octagon and square junction boxes
  • +/-15° in x-axis and +/-5° in y-axis
Mechanical
  • Size: L 5.13” (13.03cm) x W 3.67” (9.32cm) x H 1.29” (3.28cm)
  • Weight: 300g (10.58oz)
Environment
  • Operating Temperature: 0C to 45C (+32 to +113F)
  • Operating Humidity: 20% to 80% non-condensing
  • Storage temperature: +5C to +35C (+40F to +95F)
  • Transport temperature: -20C to +70C (-4F to 158F)
  • IP40
Regulatory
  • USA (FCC) TFB-1004, Class B
  • Canada (ISED) 5969A-1004
  • apan (MIC) 201-180720
  • RoHS, REACH, Prop 65
Security
  • TLS 1.2 encrypted cloud-communications
  • HTTPS and password-protected configuration access
  • No PII information is ever collected
Software Compatibility
  • VergeSense applications are delivered through a cloud-hosted SaaS platform
  • Supported browsers include Internet Explorer (Version 11+), Chrome, and Firefox 
Detection Accuracy
  • 95%+ people counting accuracy

EN-1 Entryway Sensor (2020-2022 Model)

Connectivity
  • Ethernet 802.3af
  • Min. bandwidth: 100 KB/s (Configuration, live view provides limited fps)
  • Data transmission: <20KB/s
Power
  • Power over Ethernet (PoE)
  • Power Consumption: Class 0
  • ~7 W (max)
Deployment
  • 1 sensor per entryway (room, floor, or building occupancy)
  • Max deployment height: 20ft (6.096m)
  • Optical Sensor
  • 3D Stereo Vision
  • Min. 2 lux operating brightness
Mounting
  • Anchor screws
  • Device screw-holes for mounting to 4” Octagon and square junction boxes
  • +/-15° in x-axis and +/-5° in y-axis
Mechanical
  • Size: L 5.13” (13.03cm) x W 3.67” (9.32cm) x H 1.29” (3.28cm)
  • Weight: 300g  (10.58oz)
Environment
  • Operating Temperature: 0C to 45C (+32 to +113F)
  • Operating Humidity: 5% to 95% non-condensing 
  • Storage and temperature: -20C to +60C (-40F to 158F) 
  • IP40
Regulatory
  • USA (FCC) TFB-1004, Class B
  • Canada (ISED) 5969A-1004
  • Japan (MIC) 201-180720 
  • RoHS, REACH, Prop 65
Security
  • TLS 1.2 encrypted cloud-communications
  • HTTPS and password-protected configuration access
  • No PII information is ever collected
Software Compatibility
  • VergeSense applications are delivered through a cloud-hosted SaaS platform 
  • Supported browsers include Internet Explorer (Version 11+), Chrome, and Firefox 
Detection
  • 95%+ people counting accuracy

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