A global construction and engineering firm sought to enhance the convenience and efficiency of a large commercial space. Their goal: test new service models, improve pedestrian and vehicle flow, and extract actionable insights—all without investing in new infrastructure.
Gorilla Technology delivered a powerful AI-driven analytics solution that leveraged the firm’s existing camera systems. By integrating behavior analytics, vehicle detection, and IoT subsystems, the project provided high-accuracy data and a scalable foundation for future smart services.
Case Studies
The Challenge
01
Maximizing Value from Existing Infrastructure
The company wanted to explore new business opportunities and improve user experience in a high-traffic commercial environment. However, deploying new hardware was costly and time-consuming. They needed a solution that could deliver deep insights using what they already had.
02
Testing New Services at Scale
The company also aimed to stress test new service models and system performance under real-world conditions, without disrupting ongoing operations.
Case Studies
Our Solution
Behavior Analytics with Existing Cameras
Gorilla deployed AI-powered behavior analytics to perform accurate people counting using only the existing surveillance infrastructure. This enabled real-time foot traffic insights without additional sensors.
Vehicle Detection & Counting
The system also tracked vehicle flow in parking areas through the same camera network, providing detailed data on usage patterns and peak times.
Seamless System Integration
Five subsystems were integrated with the firm’s existing IoT and camera infrastructure. This unified approach delivered a holistic view of both pedestrian and vehicle activity, enabling smarter decision-making.
Case Studies
Results & Impact
High-Accuracy Insights, Zero New Hardware
The solution delivered precise people and vehicle counts, proving that existing infrastructure could be transformed into a powerful data source.
Actionable Intelligence for Future Services
With integrated analytics and real-time data, the firm gained the insights needed to design and deploy new services, all of which were backed by real-world usage patterns and performance metrics.
Case Studies
Key Takeaways
AI-powered analytics delivered accurate people and vehicle counts.
No new hardware required: leveraged existing camera systems.
Integrated subsystems provided a unified view of activity.
Enabled new service testing with real-world performance data.
Scalable solution for future smart infrastructure projects.