CALA | CrowdView: Precision That Counts.

CrowdView provides reliable, AI-powered people counting in real time, delivering accurate results even in very large crowds. The technology achieves exceptionally high accuracy and, depending on camera resolution, can detect up to 20,000 people simultaneously in a single image.

CrowdView uses existing camera infrastructure, eliminating the need to install new hardware. Even in complex scenarios where people are partially obscured by flags, banners, or movement, the system reliably detects all relevant individuals, providing an accurate and undistorted overview of the crowd situation.

CrowdView uses advanced deep learning technology to reliably detect people in video streams, regardless of viewing angle, crowd density, or movement. The AI delivers consistent results over extended periods without accumulating errors. Analysis is performed directly within the video stream, enabling secure, scalable, and privacy-compliant operation using existing camera infrastructure.

Today, event organizers need quick answers to the most important questions: Where are bottlenecks developing? How are crowds distributed? Where are the potential risks?

CALA. delivers essential real-time insights: movement data, crowd density analytics, sentiment analysis, and accurate people counting. These insights enable you to make better decisions, enhance safety, and optimize the visitor experience.

Crowd Management gives you a precise, real‑time overview of how visitors move, how densely certain areas are frequented, and how quickly crowd flows change.

Safety‑relevant risks are identified early, allowing teams to react quickly and effectively.

The platform enables location‑based notifications to be sent directly to visitors, guiding them safely and efficiently.

At the same time, the system allows for precise control of pathways, entrances, and potential bottlenecks - ensuring your event runs smoothly, safely, and reliably.

The solution brings together multiple data sources to support safe and informed decision‑making at all times.

Flow analyses capture visitor movements, densities, and speeds, while AI‑driven video analysis adds additional sentiment and reaction data.

Mobility insights - such as modal split and common travel routes - reveal how visitors arrive and navigate the venue.

All of this information is combined into an intuitive platform that provides a comprehensive real‑time overview of your event.

Crowd Management delivers measurable value for every event.

With precise risk detection, you increase safety and can act before bottlenecks or hazards arise.

The solution also enables far more efficient staffing, as you see exactly where resources are needed.

Visitor flows can be guided more effectively, reducing wait times and improving the overall experience.

Marketing and sponsorship partners benefit from measurable performance data, as attention, dwell time, and touchpoint engagement can be evaluated in detail.

CrowdView provides reliable, AI‑powered real‑time person counting that remains accurate even in very large crowds.

Depending on camera resolution, the technology can detect up to 20,000 people in a single frame.

CrowdView uses your existing camera infrastructure - no new hardware required.

Even in challenging situations with flags, banners, or moving obstructions, the system accurately identifies all relevant individuals, ensuring an unfiltered view of the crowd.

CrowdView uses advanced deep learning to reliably identify people in video streams - regardless of viewing angle, density, or motion.

The AI delivers stable results over long periods and avoids the error accumulation common in traditional sensor‑based systems.

It also reliably detects partially obstructed individuals, ensuring a consistent and accurate situational overview.

Analysis happens directly in the video stream, enabling secure, scalable, and privacy‑compliant operation based on existing camera setups.

Question: How does CrowdView actually work?

Answer: CrowdView uses AI-powered deep learning models to detect people directly within the video stream, regardless of viewing angle, crowd density, or occlusions. The analysis takes place in real time without error accumulation, ensuring reliable detection even in large crowds.

Question: Do we need new cameras or additional hardware?

Answer: No. CrowdView generally works with your existing camera infrastructure and delivers accurate results even with basic setups – detecting up to 20,000 people per camera, depending on resolution.

Question: Is CrowdView fully compliant with data protection regulations?

Answer: Yes, fully. The system operates without facial recognition, does not store video footage, and processes the video stream locally. Only anonymized analytics data is transmitted – in full compliance with GDPR.