How Density compares

Find the workplace measurement solution that’s best for your business.

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If you’re here, you’re likely considering different ways to measure your spaces. How do they stack up?

Technology
Sensors
Maintenance
Real-time
Accuracy
Anonymous data collection
Self-installable
Cost*
Density
Radar
Entry

Area

Space
No
Yes
Fast refresh rate (< 1 sec)
High
3D radar offers the highest accuracy and is the highest-performing, non-camera sensing technology
Yes

Does not capture personally identifiable information (PII)
Yes
Waffle: No installer required
Open Area/Entry: Overhead install (installer needed) required for cabled options
$ for Waffle
$$ for Entry and Open Area
Butlr
Thermal Imaging
Entry

Area
Yes

Battery requires maintenance (2 years marketed but customers say battery life may be as little as 1/4 of advertised rate in busy areas)
No
Medium data refresh rate
(Lowering sampling rate to save power means data cannot actually be real time)
Low
Thermal sensors can struggle with telling people and heat-emitting objects apart. A laptop may be counted as a person.

Yes

No PII captured
No
Overhead install (installer needed) required for hubs
$$
VergeSense
Camera
Entry

Area
Yes

Battery offering requires maintenance (10 years marketed but customers say battery life may be as little as 1/4 of advertised rate in busy areas)
No
Medium data refresh rate
(2 minutes for battery, ~30 sec refresh rate for powered)
Medium
Cameras capture a high level of detail
Signs of "life" or "space usage" is error-prone.

No

PII captured
No
Overhead install (installer needed) required for both cabled and battery options
$$$
Cisco Spaces
Phone & Device Tracking
Camera if using Webex
No sensors

Uses device tracking and camera tracking
No
Yes
Fast refresh rate (2-second latency with cameras)
Low
May count phone, laptop, smartwatch belonging to 1 person as 3 people.
Poor positional accuracy (within 5 meters) makes it hard to determine desk and meeting room use
No

PII captured
N/A
Requires existing Cisco conferencing cameras, plus wireless access points
$

R-Zero
Passive infrared (PIR) + Thermal Imaging or RGB Camera
No Entry

Area

Space
Yes

Battery offering requires maintenance
Yes
Fast refresh rate on powered, low refresh rate on battery
Medium
PIR sensors have limited detection range, so may miss motion outside of measurement area
No

PII captured
Yes
Passive infrared sensors can go anywhere

Overhead install (installer needed) required for counting sensors
$$
* Cost per sensor
$ < $150

$$ < $150-$499

$$$ $500-$1000+
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Breaking it down

Here are some key questions to consider when deciding what workplace measurement solution to go with.

For privacy and accuracy

What does the sensor “see” at the source?

If a sensor captures raw video or images with personally identifiable information (PII), your organization could be at risk of privacy violations—even if those images are processed “securely” later. Ask vendors to show you what the camera sees at the source.

For privacy and accuracy

Does the system count “signs of life” (like a mug or backpack) as a person?

Some camera systems will register an empty chair with a jacket on it or a desk with a coffee cup as “a sign of life.” That’s not true presence. For real-time space planning, only actual people should count.

For updates

How are firmware updates handled—and do they cause downtime?

Sometimes updating sensors means taking them offline, disrupting dashboards and integrations. Some vendors only provide updates to newer models, forcing hardware refreshes. Ask about update frequency, control and coverage across your fleet.

For questions about power

What happens to battery life in high-traffic areas?

Sensors placed in busy zones trigger more often and that drains batteries faster. Software updates and LEDs also take up battery life. Many battery-based systems trade off real-time data to preserve energy. You shouldn’t have to choose between accuracy and uptime.

For questions about power

Do batteries in high-use areas die sooner than others?

Yes, and that matters. Without centralized monitoring, you’ll be swapping batteries piecemeal instead of doing predictable replacements. Batteries die at different rates based on where sensors are located and other factors. That’s a maintenance headache.

For phone-tracking systems

Can your system determine which room or desk someone is using?

WiFi signals pass through walls, so most systems can’t tell whether someone is in Room A or Room B. They just know a device is somewhere. That makes room-level occupancy data unreliable. Also, laptops, phones and printers can get counted as people.

For thermal sensors

How does your system handle overlapping heat signatures in crowded spaces?

Thermal sensors detect heat blobs, not people. In busy environments, bodies can blur together, leading to undercounts. Plus, heat from laptops or monitors can trigger false positives. Ask about accuracy—how the system differentiates actual humans from warm objects.

Final thought

If a vendor can’t answer these questions clearly or dodges the details, they probably haven’t built a system ready for scale, accuracy or the real world. Ask hard questions now so you don’t pay for inadequate data later.

Going head to head

Check out side-by-side comparisons between different solutions.

Density vs Butlr

Some intro language here that summarizes the main difference between Density and Butlr.

Learn more

Density vs VergeSense

Some intro language here that summarizes the main difference between Density and VergeSense.

Learn more

Density vs Cisco Spaces

Some intro language here that summarizes the main difference between Density and Cisco.

Learn more

Density vs R-Zero

Some intro language here that summarizes the main difference between Density and R-Zero.

Learn more

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