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People counting in Malls and other Smart Places becomes smart with LiDAR-based Spatial AI

Making Spaces Truly Smart with LiDAR based People Counting

Enhance efficiency, optimize costs, and ensure security in smart spaces, from retail outlets and offices to large venues and public areas.


According to Allied Market Research, the global smart space market was valued at $30.53 billion in 2020, and is projected to reach $107.42 billion by 2030, registering a CAGR of 13.4%.

Recent statistics demonstrate that there will be a significant growth in the Smart Spaces sector, which means that an increasing number of businesses will be investing in technologies to make their infrastructure smarter.

What are Smart Spaces?

Smart Spaces are are physical environments equipped with advanced technologies that collect, process, and analyze data to enhance the overall experience, efficiency, and functionality of those environments.

These spaces utilize interconnected devices and systems, often referred to as the Internet of Things (IoT), to create intelligent environments that adapt to the needs of their users.

The integration of sensors, data analytics, artificial intelligence (AI), and automation transforms traditional spaces into smart ones, enabling more informed decision-making and improved outcomes across various domains.

LiDAR Based People Counting Technologies

A key element of enhancing efficiency and reducing costs in Smart Spaces is the integration of People Counting Technologies.

The demand for real-time actionable data is undeniable, yet it comes with significant privacy concerns. Traditional technologies such as CCTV cameras, radar, thermal imaging, and stereo vision systems suffer from limitations in depth perception and accuracy while also raising privacy issues.

These shortcomings underscore the need for more advanced, privacy-conscious solutions in data collection and analysis.

A detailed comparison of LiDAR, Radar and Camera Technology

This article explores the capabilities and limitations of each type of sensor, to provide a clear understanding of why LiDAR has emerged as a strong contender in computer vision tech race.

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LiDAR-based Spatial Intelligence is the third-generation of People Flow Monitoring technology which address the need of the hour and can provide full user journey KPIs even in the case of multi-level and a mix of indoor-outdoor settings.

Introducing 3rd Gen People Counting Technology

Mirroring the technological evolution seen across various industries, People Tracking and Counting Technologies have already entered their third generation.

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With the help of Outsight’s Computer Vision software, it is now possible to digitize the displacements and interactions of people captured by LiDAR sensors within any infrastructure in real-time to derive valuable insights.

The Benefits of People Counting Across Multiple Sectors

  1. Retail Outlets

Understanding the movement patterns of customers in retail outlets has numerous benefits. By analyzing real-time 3D LiDAR data on how customers navigate the store, retailers can identify high-traffic areas and strategically place promotions and popular items to maximize visibility and sales.

LiDAR Boosts Quick Service Restaurant Efficiency

The Quick Service Retail (QSR) industry is perpetually evolving, with technological advancements playing a pivotal role in shaping customer experiences and operational efficiencies.

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LiDAR based Spatial Intelligence is being used in food retail

LiDAR data on customer counts, when used with an advanced analytics software can trigger alerts to open additional checkout counters, reducing wait times and enhancing customer satisfaction.

Efficient queue management improves the overall shopping experience, leading to higher customer retention and loyalty.

Outsight’s Spatial Intelligence Platform can analyze foot traffic and dwell times which are key elements of in-store customer behaviour.

This valuable data provides insights into the most frequented as well as under utilised areas, helping businesses optimise store layouts & ensure cost-effectiveness leading to a better return on investment.

Foot traffic can be an important insight to evaluate and strategise on future marketing campaigns for retailers
  1. Office Spaces

In modern office environments, understanding the flow and occupancy of spaces is crucial for optimizing workspace utilization and enhancing employee experience.

Thanks to LiDAR data and sophisticated processing software like the one of Outsight, office space operators can access precise occupancy data and heat maps allowing for better space management.

This data can help in preventing overcrowding and ensuring that office spaces are utilized optimally, which can reduce the need for additional office space and associated costs.

LiDAR data can be used for optimising office space utilisation

LiDAR data-driven insights into space utilization can also help in optimizing cleaning schedules, Heating Ventilation & Air Conditioning (HVAC) systems, as well as lighting.

For instance, areas that are frequently used can be prioritized for cleaning, improving efficiency. While lighting and HVAC systems can be adjusted based on real-time occupancy, leading to significant energy savings and improved environmental sustainability.

  1. Large Venues

Real-time tracking of crowd density helps in preventing overcrowding and ensuring the safety of attendees at large venues like stadiums, concert halls, and exhibition centres. This is crucial input for managing large events where overcrowding can lead to safety hazards.

Owing to Outsight’s Spatial AI, large venues can access detailed insights into how people enter and exit the venue assist in designing more efficient pathways, reducing congestion.

Crowded venues like stadiums should leverage people counting technologies

This not only improves the attendee experience but also enhances security by ensuring smoother and more controlled entry and exit points.

Data on visitor movement and behaviour can be used to improve services such as food and beverage distribution, restrooms, and other amenities.

For example, by understanding peak times for concession stands, venue operators can ensure they are adequately staffed to handle high demand.

Outsight’s Olympic LiDAR project, which won the Innov’up Sport Laureate recently, is a great example of how large venues can leverage people flow monitoring insights.

Outsight Wins Innov’up Sport Laureate

We have been awarded the Innov’Up Sport award at VivaTech 2024 for the Olympic LiDAR project!

Read article →

In public spaces like parks, plazas, and streets, LiDAR technology enhances urban management.

Continuous monitoring of public areas helps in identifying and responding to potential safety hazards or security threats. This includes detecting unusual patterns of movement that might indicate a security concern and allowing for timely interventions.

Top LiDAR Benefits for Public Spaces

Discover the benefits of LiDAR technology in public spaces: people counting, anonymity, public safety, easy installation, and error-free data.

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Real-time 3D Spatial data aids in managing large public events by optimizing crowd control measures and ensuring smooth operations. This is especially important for outdoor festivals, parades, and other events.

Plazas, Parks and Streets could leverage People Flow Monitoring Insights

Outsight’s Spatial Intelligence solution can provide insights into how people use public spaces inform urban planning decisions, leading to more effective and people-friendly city designs.

Planners can use this data to design spaces that encourage positive social interactions and better serve the community’s needs.

  1. Transportation Hubs

Real-time and anonymous tracking of passenger movement with LiDAR technology helps in managing queues, reducing wait times, and improving overall efficiency.

This leads to a smoother travel experience and can help transportation hubs like airports and railway stations in handling peak times more effectively.

LiDAR Enhances Airport Safety and Efficiency

Airports, as critical transportation hubs, play a dual role in ensuring passenger safety and maintaining a smooth flow of travelers.

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Detailed Spatial Intelligence insights aid in monitoring and managing security checkpoints more effectively. By understanding passenger flow, security personnel can be better positioned to handle potential issues and ensure safety.

LiDAR Technology can help to make transport hub operations more efficient and improve traveler satisfaction

Outsight’s Spatial Intelligence Platform on passenger flow and behaviour supports better resource allocation and improves the overall passenger experience. For instance, knowing peak times for different key areas can help allocate staff more efficiently, reducing bottlenecks and improving service levels.

Conclusion

People counting technologies, particularly those leveraging 3D LiDAR, are the new norm for the way Smart Spaces are managed and optimized.

Outsight’s Shift LiDAR Software stands at the forefront of this ongoing shift to the new norm, offering unparalleled spatial intelligence across a wide range of indoor and outdoor environments.

By delivering detailed insights while maintaining privacy and reducing infrastructure costs, Outsight is facilitating the shift to smarter, safer, and more efficient environments around the globe.


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Frequently Asked Questions

  • What is the difference between people counting and people flow monitoring?

    People counting produces a scalar: how many persons passed a threshold in a time window. People flow monitoring produces trajectories: where each person came from, where they went, how long they spent in each zone, and how their path compared to others. The trajectory layer is what enables dwell-time analysis, bottleneck identification, and staff-allocation decisions. Outsight's Motional Digital Twin captures exactly this distinction, tracking not just occupancy numbers but the full 3D movement of every person through a space in real time, anonymously, without cameras or biometric data. A simple counter answers "how many"; a flow system answers "what did they do and where did it break down."

  • How does LiDAR-based occupancy data reduce HVAC and lighting costs in office buildings?

    LiDAR provides zone-level occupancy at sub-minute resolution, which is precise enough to drive demand-controlled ventilation and daylight-linked lighting circuits. A thermal or PIR motion sensor can tell a building management system that a room is occupied, but it cannot distinguish one person from twenty. LiDAR-derived headcounts give HVAC controllers the actual load figure, allowing setpoint adjustments proportional to occupancy rather than binary on/off switching, which is where the measurable energy savings come from. Outsight applies this principle at infrastructure scale through the SHIFT platform, where 3D LiDAR sensors mounted in the infrastructure produce real-time, anonymous occupancy counts across multiple zones simultaneously, giving building operators the granular data needed to move beyond simple on/off logic toward truly load-proportional energy control.

  • Can a single people-counting sensor cover a multi-level retail space?

    A single LiDAR unit has a defined vertical and horizontal field of view and cannot see around floors or structural elements. Multi-level coverage requires a sensor network fused into one shared point cloud, a pattern sometimes called LiDAR-as-a-sensor-network. The fusion step assigns each tracked person a persistent anonymous ID across floors, so a shopper moving from the ground floor to the first floor is counted as one continuous journey rather than two separate detections. Outsight's infrastructure-based approach follows exactly this model: the SHIFT platform ingests streams from multiple LiDAR sensors deployed across levels, fuses them into a unified Motional Digital Twin, and maintains anonymous trajectories end-to-end without capturing faces or biometric data.

  • What people-counting technology is used in smart stadiums to prevent crowd crushes?

    Stadium deployments increasingly rely on 3D LiDAR rather than camera-based video analytics because LiDAR measures the actual density of a crowd in three dimensions, not just pixel brightness in a 2D image. The system tracks occupancy per zone in real time and triggers alerts when density crosses a configured threshold, giving operations staff time to redirect incoming crowds before a dangerous condition forms. Camera systems struggle with this because occlusion in dense crowds makes accurate headcounts unreliable. Outsight's infrastructure-based approach extends this capability through the SHIFT platform, which builds a real-time Motional Digital Twin of every person moving through a venue, enabling per-zone density monitoring with sub-50ms latency and without capturing any biometric data.

  • How do thermal imaging people counters compare to LiDAR in outdoor public spaces?

    Thermal imaging detects body heat, which works well in controlled indoor settings but degrades outdoors when ambient temperature approaches body temperature, typically in summer. Rain, direct sunlight on pavement, and heat-radiating surfaces all generate false positives. LiDAR emits its own near-infrared laser pulses and measures returns based on geometry, not temperature, so outdoor performance stays stable across seasons. Thermal sensors also produce relatively coarse spatial data, whereas LiDAR resolves individual bounding boxes with centimeter-level precision. Outsight builds on this geometric advantage through its SHIFT platform, which processes 3D LiDAR point clouds in real time to deliver accurate people counting and flow analytics in open, high-variability environments such as smart-city intersections and transit hubs, regardless of lighting or seasonal heat conditions.

  • Does people-counting data from smart spaces qualify as personal data under GDPR?

    Whether people-counting data constitutes personal data under GDPR depends on whether individuals can be identified from it. Aggregate counts (headcounts per hour) are not personal data. Trajectory data linked to a persistent identifier creates a borderline case under GDPR recital 26. LiDAR-based systems resolve this structurally, and Outsight's approach illustrates the principle: the SHIFT platform assigns each detected person a temporary anonymous ID tied only to shape and motion, with no face, biometric, or device signal ever captured by the sensor. Because re-identification is not technically possible from the raw data, the information does not meet the definition of personal data in the first place, rather than relying on post-processing anonymization to achieve compliance.