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From Guesswork to Intelligence: Introducing Line Crossing and Occupancy Counting for Operational Excellence

Laniah Lewis, Product Manager, Rhombus
by Laniah Lewis, on July 21, 2025
Product Updates
line crossing detection and occupancy counting

Facilities managers and security teams have long struggled with a fundamental challenge: understanding how their spaces are actually being used, while maintaining operational efficiency and safety standards. Without reliable data on foot traffic patterns, occupancy levels, and movement flows, organizations are forced to make critical operational decisions based on manual tracking or guesswork, rather than intelligence. The result? Wasted resources, missed opportunities, compromised safety protocols, and suboptimal experiences for employees, customers, and visitors. 

Advancing Operational Efficiency with AI-Powered Video Insights 

To serve actionable insights by harnessing the power of AI video intelligence, we are excited to announce new AI features, designed to enhance space utilization and operational excellence – Line Crossing and Occupancy Counting

Line Crossing: Turn Movement into Actionable Intelligence 

Line Crossing transforms your security cameras into sophisticated traffic insights tools, providing accurate, directional counting that reveals how people and vehicles move through your spaces. 

line crossing analytics for entrances and parking lots

With custom region controls, you can monitor entries and exits while capturing detailed movement patterns between different areas of your facility. This intelligent tracking system identifies key operational trends, such as peak traffic times and flow bottlenecks, enabling you to make data-driven decisions for optimized resource allocation and improved operational efficiency. 

Occupancy Counting: Automated Insights for Optimal Utilization 

Occupancy Counting delivers consistent occupancy estimates, without relying on manual counts or check-ins, providing the situational awareness you need to optimize space utilization and enhance guest experiences. 

occupancy counting with object and motion detection

This intelligent tracking system leverages AI video intelligence and human movement to eliminate the need for time-consuming manual processes by automatically monitoring people in the room to consolidate counting estimates. By identifying underused spaces, you can reallocate resources for maximum utilization while proactively managing high-traffic areas to prevent overcrowding and ensure sufficient staffing levels are maintained for optimal guest experiences.  

Real-World Applications Across Industries 

The versatility of Operational Analytics makes it invaluable across diverse industries and use cases. Here's how organizations are already transforming their operations: 

Fitness Facilities: Optimizing Capacity & Staffing 

A large, national fitness chain uses Occupancy Counting to monitor capacity across multiple gym locations, ensuring they never exceed safe occupancy limits while maintaining optimal member experiences. By tracking occupancy patterns throughout the day, organizations can implement better staffing schedules that deploy additional trainers and front desk staff during peak times, while avoiding overstaffing during slower periods. 

Retail: Maximizing ROI 

Retail stores that implement Line Crossing can analyze flow patterns within and outside the store. By understanding which entrance activities prefer and inter-departmental traffic flow, they can optimize product placement to increase sales in previously underperforming areas.  

line crossing analytics on cameras

Education: Creating Safer, More Efficient Campuses 

A university campus needing to understand pedestrian traffic patterns across campus can implement Line Crossing to make informed decisions on the placement of new walkways and lighting. Line crossing with vehicles to better manage traffic flow for more streamlined student pickup times. 

Manufacturing: Improving Safety and Efficiency 

vehicle line crossing

A manufacturing facility can use Line Crossing to monitor vendor delivery patterns and material flow throughout their facility. By tracking when delivery trucks arrive and how materials move through different production zones, they can identify peak periods of deliveries, which may create a delay in production scheduling. This type of intelligence can enable them to work with their vendors to stagger delivery times. 

The Platform: Built to Protect and Designed to Adapt for Operational Excellence 

Rhombus’ suite of rapidly growing AI features continues our commitment to provide solutions across industries with a platform that is built to protect and designed to adapt. As part of our end-to-end cloud-managed platform, these new capabilities seamlessly integrate within your existing Rhombus deployment, requiring no additional hardware or complex configuration. 

Rhombus cameras connected for line crossing detection

The system scales effortlessly from single-location deployments to enterprise-wide implementations, providing consistent data collection and analysis across your facilities. Cloud and edge-based processing ensures that you gain actionable insights with minimal latency and bandwidth, while our intuitive dashboard makes it easy to visualize trends and gain actionable, data-driven insights. 

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Transform Your Spaces with Intelligence Today 

Line Crossing and Occupancy Counting will be available as a limited release, giving Rhombus Enterprise license users a first-hand experience to revolutionize their location's operational insights. These features perform best on the Rhombus dome, bullet, and multisensor camera series

Ready to stop guessing and start optimizing your spaces with data-driven insights? Book a demo today to see how Rhombus and its powerful suite of AI features can make your locations safer and smarter.

Laniah Lewis, Product Manager, Rhombus

Laniah Lewis is a Product Manager at Rhombus. She joined the team in 2024 and brings over 3 years of technical experience in the B2B sector. With an M.S. in Quantitative Economics from Cal Poly SLO and a Pre-Doctoral Research Fellowship completed at Stanford, Laniah takes a research-driven approach to product development and is passionate about pushing the boundaries of AI in physical security.

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