As digital out-of-home (DOOH) networks increasingly integrate with programmatic ecosystems, media buyers are demanding the same granular performance tracking and verification they expect from online channels. While traditional outdoor measurement has relied on historical foot-traffic models and mobility estimates, modern in-venue screen networks are deploying edge-based computer vision tools to capture real-time, ground-truth audience analytics. Here at Blindspot, we understand that providing advertisers with high-fidelity, privacy-compliant attention metrics is critical to unlocking premium budgets and proving real campaign ROI.
1. Quividi
Quividi is widely recognized as an industry pioneer in Anonymous Video Analytics (AVA), translating real-time optical streams into high-fidelity audience impressions and engagement metrics for DOOH and retail media. The platform uses local edge-based computer vision algorithms to analyze the visual gaze of passersby, measuring precise dwell times, attention span, and demographic cohorts such as age and gender. Because all image processing occurs locally on the hardware player, the raw video frames are immediately discarded and only aggregated, completely anonymous metadata is transmitted, ensuring absolute GDPR and privacy compliance. It is a highly auditable, industry-standard solution best suited for programmatic networks, shopping malls, and point-of-purchase displays looking to feed real-time impression multipliers directly into programmatic supply-side platforms (SSPs).
2. AdMobilize
AdMobilize offers an end-to-end computer vision and AI-powered audience intelligence platform designed to seamlessly measure pedestrian and vehicle engagement across complex outdoor and indoor physical spaces. Through specialized optical sensors and a lightweight edge software architecture, the platform detects physical presence, estimates demographics, tracks dwell time, and measures exact vehicle volume and classification without storing any personal data. The solution is engineered for plug-and-play ease of deployment, allowing screen operators to quickly scale analytics across broad networks and connect the data directly to CMS platforms like Broadsign and BrightSign. It is a highly versatile option for transit hubs, smart city signage, and roadside digital billboards that require simultaneous tracking of both human foot traffic and multi-lane vehicular movement.
3. Aquaji
Developed by Swiss digital signage innovator Navori Labs, Aquaji is an advanced camera-based marketing analytics software that utilizes proprietary computer vision algorithms to assess customer behavior and screen engagement. The software tracks the entire customer journey by measuring total site foot traffic, queue wait times, and exact screen attention span, which measures how long a viewer’s gaze actually remains on the displayed creative. To protect bystander privacy, Aquaji generates a temporary, unique alphanumeric mathematical hash to follow a visitor’s path through a physical venue, deleting the randomized fingerprint immediately once they exit or within a maximum of 23 hours. It represents an excellent fit for quick-service restaurants, retail environments, and venue operators who want to tightly integrate operational signage with real-time, data-driven audience triggers.
4. Sightcorp
Acquired by digital signage platform Raydiant, Sightcorp provides robust, real-time audience intelligence and emotion recognition software tailored for retail environments and interactive screens. Its face analysis technology uses advanced deep learning models to identify face presence, head pose, and visual attention, allowing it to classify viewers by age and gender while determining their overall engagement level with specific on-screen content. The system is fully compliant with modern privacy frameworks, operating strictly at the edge to calculate aggregated audience metrics without registering biometric templates or storing personal identifiers. It is an exceptional match for brick-and-mortar operators and brands utilizing interactive kiosks or smart shelves, where understanding instant customer reactions and optimizing personalized on-screen content is vital.
5. Advertima
Headquartered in Switzerland, Advertima leverages advanced 3D computer vision and machine learning models to digitize in-store shoppers and transform grocery and retail networks into sophisticated media channels. Unlike basic 2D systems, the platform generates a continuous, real-time understanding of physical space, tracking precise viewer distance, absolute dwell time, and demographic metadata of audiences in front of screens. The software is built with privacy-by-design at its core, ensuring GDPR compliance by mapping head poses and demographics to anonymous 3D abstractions that cannot be reversed to compromise individual identity. It is a powerful, enterprise-grade solution specifically optimized for grocery store chains and large-scale retail media networks aiming to offer online-like targeting, performance metrics, and automated programmatic campaigns.
Integrating camera-based audience measurement into physical screen networks bridges the gap between digital out-of-home and traditional online advertising. By selecting the right computer vision software, media owners can deliver the transparent, ground-truth analytics that programmatic buyers expect while strictly respecting consumer privacy. Embracing these advanced analytics solutions allows DOOH campaigns to become highly targeted, dynamic, and verifiable, ultimately driving greater efficiency for brands and higher yield for screen networks.