Occupancy Monitoring

HVAC that adapts to real occupancy

Our occupancy-based HVAC control system dynamically adjusts HVAC operations using real-time occupancy insights and intelligent automation.

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Occupancy monitoring dashboard
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Smarter HVAC for modern buildings

Occupancy-based HVAC control enables buildings to automatically adjust heating and cooling based on real-time space usage rather than fixed schedules or manual inputs.

Description

Zoho IoT's occupancy-based HVAC control: How it works

Stage 1 - Understanding space usage
Stage 2 - Edge processing
Stage 3 - Data combination
Stage 4 - HVAC analysis
Stage 5 - Smart control commands
Stage 6 - BMS execution
Stage 1 - Understanding space usage
Stage 1

Understand how spaces are used

The system starts by understanding real building usage. Existing CCTV cameras are used to measure:

  • How many people are present in a room, floor, or building
  • Whether spaces are actively occupied or mostly empty
  • How occupancy changes throughout the day
Process occupancy data at the edge
Stage 2

Process occupancy data at the edge

Occupancy data from the cameras is processed locally using an edge server installed within the building. By processing data at the edge:

  • Responses are fast and reliable.
  • The system doesn't depend entirely on cloud connectivity.
  • Data privacy is preserved.
Combine occupancy and building data
Stage 3

Combine occupancy and building data

At the same time, the system continuously collects:

  • Indoor temperature and environmental data
  • HVAC and AHU operational status
  • Equipment performance metrics from the building management system (BMS)
Analyze and decide on the optimal HVAC action
Stage 4

Analyze and decide on the optimal HVAC action

The processed data is securely sent to the Zoho IoT platform, where intelligent analytics determine the best HVAC action. The platform evaluates the number of people in the space, room size and design capacity, current temperature conditions, and comfort and energy efficiency targets. Based on this, the system automatically decides:

  • Whether HVAC units should run, stop, or adjust output
  • What the ideal temperature should be
  • How much cooling or heating is actually required
Send smart control commands
Stage 5

Send smart control commands

Once the decision is made, control commands are automatically generated and sent back to the building. These commands include:

  • Switching AHUs ON or OFF
  • Increasing or reducing temperature setpoints
  • Changing HVAC operating modes
Execute commands through the BMS
Stage 6

Execute commands through the BMS

The edge system communicates directly with the building management system to execute the commands on existing HVAC equipment. This ensures:

  • Seamless integration with current HVAC infrastructure
  • No need for hardware replacement
  • Reliable, real-time execution
Stage 7

Continuous self-adjustment

This process runs continuously and automatically. As occupancy rises or falls:

Stage 7 - Continuous adjustment

Key benefits of occupancy-based HVAC control

Reduced energy consumption

Optimize HVAC energy usage by matching heating and cooling output with actual space occupancy instead of static schedules. This helps eliminate energy waste while maintaining efficient system performance throughout the day.

  • Avoid cooling or heating empty or lightly used spaces across floors and zones.
  • Optimize AHU runtime and load based on real-time demand rather than assumptions.
  • Significantly reduce overall energy consumption and operating costs automatically.
Energy management dashboard

Improved occupant comfort

Ensure consistent and comfortable indoor environments by dynamically adjusting HVAC performance based on real-time occupancy levels. The system responds instantly to changing usage patterns without manual intervention.

  • Maintain stable indoor temperatures during peak and variable occupancy.
  • Quickly respond when meeting rooms, floors, or zones fill up.
  • Improve employee comfort, well-being, and workplace productivity.
Comfort management dashboard

Operational efficiency

Simplify HVAC operations by automating daily decision-making and reducing dependency on manual monitoring and overrides. The system continuously optimizes itself, allowing teams to focus on higher-value tasks.

  • Reduce manual intervention and routine operational effort.
  • Enable intelligent, rule-driven HVAC control across facilities.
  • Easily scale the solution across multiple buildings or campuses.
Operational costs dashboard

Privacy-first design

Deliver occupancy-driven HVAC intelligence without compromising individual privacy or data security. The solution is designed with enterprise-grade protection and compliance in mind.

  • Use anonymous occupancy counts without facial recognition or identity tracking.
  • Process sensitive data securely at the edge and in the cloud.
  • Meet enterprise security, compliance, and data protection standards.
Equipment lifespan dashboard

Occupancy-based lighting control

The same occupancy intelligence can also power occupancy-based lighting control. This creates a unified building automation strategy across HVAC and lighting systems. Lights automatically respond to space usage by:

Occupancy-based lighting control

Use Cases

Corporate office buildings

Optimize HVAC based on real-time employee presence across meeting rooms, floors, and workspaces. Reduce energy waste during off-hours while maintaining consistent comfort during peak usage.

corporate office
Commercial and mixed-use properties

Adapt HVAC performance dynamically across retail, office, and shared spaces with varying occupancy patterns. Ensure efficient energy usage while delivering a comfortable experience for tenants and visitors.

commercial
IT parks and business campuses

Manage HVAC efficiently across multiple buildings and large campuses with fluctuating occupancy levels. Enable centralized control and optimization while maintaining comfort across diverse work environments.

it parks
Smart buildings and green-certified facilities

Align HVAC operations with sustainability goals by reducing unnecessary energy consumption. Support green building standards while enhancing occupant comfort through intelligent automation.

smart buildings
Corporate office buildings

Optimize HVAC based on real-time employee presence across meeting rooms, floors, and workspaces. Reduce energy waste during off-hours while maintaining consistent comfort during peak usage.

corporate office
Commercial and mixed-use properties

Adapt HVAC performance dynamically across retail, office, and shared spaces with varying occupancy patterns. Ensure efficient energy usage while delivering a comfortable experience for tenants and visitors.

commercial
IT parks and business campuses

Manage HVAC efficiently across multiple buildings and large campuses with fluctuating occupancy levels. Enable centralized control and optimization while maintaining comfort across diverse work environments.

it parks
Smart buildings and green-certified facilities

Align HVAC operations with sustainability goals by reducing unnecessary energy consumption. Support green building standards while enhancing occupant comfort through intelligent automation.

smart buildings

Ready to optimize HVAC with real-time occupancy?

Reduce energy costs, improve comfort, and automate HVAC operations with occupancy-based control.

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Frequently asked questions

What is occupancy-based HVAC control?

 
Occupancy-based HVAC control is a smart building solution that automatically adjusts heating and cooling based on real-time space usage. Instead of running HVAC systems on fixed schedules, it responds dynamically to how many people are actually present, reducing energy waste while maintaining comfort.

How does occupancy-based HVAC control reduce energy consumption?

 
The system ensures HVAC units operate only when spaces are occupied and at the required capacity. By turning off or scaling down cooling and heating in empty or lightly used areas, buildings can significantly reduce unnecessary energy usage and operating costs.

Does this solution work with existing HVAC systems?

 
Yes. Occupancy-based HVAC control is designed to integrate with existing building management systems (BMS) and AHUs. It enhances current HVAC infrastructure with intelligence and automation without requiring major hardware replacements.

How is occupancy detected in the building?

 
Occupancy is detected using CCTV cameras, and advanced analytics understands space usage in real time. The system identifies the presence and count of people in different areas without identifying individuals, ensuring accurate insights while maintaining privacy.

Is occupant privacy protected?

 
Absolutely. The solution is privacy-first by design. It does not perform facial recognition or store personal identities. Only anonymized occupancy metrics are used to optimize HVAC performance.

How does the system maintain occupant comfort?

 
The system continuously balances energy efficiency with comfort by evaluating real-time occupancy, indoor temperature, and space capacity. HVAC output automatically increases during peak usage and reduces during low occupancy, ensuring consistent indoor conditions.

Can the system handle changing occupancy patterns?

 
Yes. Occupancy-based HVAC control is fully adaptive. It responds in real time to changing usage patterns, such as meeting rooms filling up or floors emptying out, without manual intervention.

Is this solution suitable for large buildings or campuses?

 
Yes. The solution is highly scalable and can be deployed across multiple floors, buildings, or entire campuses from a centralized platform.

Can occupancy-based HVAC control be combined with energy management systems?

 
Yes. This solution complements energy management by linking HVAC energy usage directly to real-time occupancy. Together, they provide deeper visibility, better optimization, and measurable energy savings.

How quickly can benefits be realized?

 
Most buildings begin to see energy savings and operational improvements shortly after deployment as HVAC behavior immediately aligns with real occupancy patterns.