The shift from cameras to mmWave radar reframes people-counting as an infrastructure and compliance problem rather than a pure analytics play. Vendors that can deliver accurate, aggregate metrics without personal data gain an advantage in heavily regulated EU-style markets and in cross-border deployments. This also changes IoT edge architectures, prioritising on-device signal processing over high-bandwidth video transport and storage. More broadly, it signals a maturation of IoT towards “data-minimising” sensing models aligned with emerging global privacy regimes.
Radar-Based People Counting Delivers GDPR-Compliant Insights Without Capturing Personal Data
Managers in retail spaces and public buildings have always wanted to keep tabs on visitors as it’s important for operational decisions. And for a long time, the solution has been camera-based tracking systems.
However, in recent years, camera-based analytics has raised privacy concerns as it captures personally identifiable information. This has led to less interest in camera-based systems as businesses move towards more innovative “privacy-by-design” solutions.
Privacy-compliant solutions like the Indoor People Counting Radar use 60 GHz mmWave technology to detect movement patterns without capturing images, making them ideal for GDPR-sensitive deployments in retail stores, public buildings, and smart city environments where camera surveillance raises privacy concerns.
Privacy and compliance concerns with camera-based systems
Camera-based systems allow businesses and organisations to get detailed insights into visitors, but they come with significant risks and challenges.
GDPR and legal obligations
Most regions today have established strict privacy regulations around how various entities, especially businesses, can collect and store personal data. Since cameras record images and videos of people, stores and public facilities that use these systems fall into the category of “Data Controllers.”
This comes with lots of complexities like ensuring secure storage, limiting access, and obtaining consent. It makes camera-based systems less appealing to stores and public spaces.
Public perception and trust
Part of complying with legal obligations is clear signage that people are being recorded and a privacy policy at the desk or via a QR code. These make people all the more aware that they are being surveilled, and it creates a bit of discomfort. Some people can even start avoiding areas where they see cameras, distorting analytics and affecting the overall user experience.
Operational drawbacks
Camera systems are never “set and forget.” They need regular maintenance, lens cleaning, and frequent alignment (depending on location). And on top of that, they are affected by lighting conditions and weather. This means they can fail in direct sunlight or during storms, leading to gaps in data collection.
Radar sensors as the privacy-first solutions
Radar sensors quickly become the privacy-first alternatives to camera-based analytics. They don’t capture any images or identifiable characteristics, so their privacy is not an “add-on”. It’s inherent, helping remain 100% GDPR compliant.
How radar detects movement without images
Indoor radar people counters like the TAC-B range rely on low-power radio waves instead of images. These waves are often emitted in the 60GHz (millimetre-wave) spectrum, and the sensor then monitors how it reflects off moving bodies. It can determine the direction and distance by analysing how the waves bounce back.
The sensors process the data on-device then send out anonymous events to a cloud server or a local one that groups them into reports.
Low-maintenance and reliable operation
Indoor radar sensors are small and require minimal maintenance, if any. They are mostly mounted on the wall and often go unnoticed.
After they are connected to power and a wireless network, they don’t require further attention, such as cleaning lenses or adjusting focus angles.
They can also accurately record data regardless of lighting changes, shadows, or reflective surfaces. Plus, they cover a large area. A radar sensor with 10m range and 120° viewing angle like the SensMax TAC-B 4G Outdoor People Counting Radar comfortably covers a 100m² area, meaning that you only need a few.
Real-time and aggregated insights
Radar sensors continuously collect data, analyse it, and send it to a server at a set interval. This is often 15 or 20 minutes to save on bandwidth and power (some are wireless), but it can be adjusted to a few seconds. Both cases give managers visibility into the number of visitors, which enables them to respond immediately when they notice that a visitor situation needs attention.
For example, if a manager sees that occupancy is nearing capacity due to a weekend promotion, they can take action, such as sending additional staff to the fitting rooms or opening extra counters.
Over time, the management also gains insights into patterns. They can see hourly, daily, weekly, monthly, and seasonal trends. They can then optimise staffing schedules, adjust layouts, or plan more effective campaigns to improve performance.
Throughout the process, the business remains 100% compliant because radar-based people counters don’t collect or analyse any personal information.
The post Privacy-first IOT: Why Retail and Public Spaces Are Moving Away From Camera-Based Analytics appeared first on IoT Business News.
