Traditional people counting answers a simple question: how many people entered and exited a space. Re-Identification (Re-ID) technology answers a far more powerful one: where did each visitor enter, how did they move through the building, and where did they leave? By anonymously matching the same person across multiple sensors, Re-ID transforms isolated door counts into complete journey analytics — revealing true visitor flow across an entire venue, accurately and comprehensively.
The technology works by generating an anonymous digital signature for each detected person based on non-identifying visual and spatial characteristics — never facial recognition. When that person appears at another sensor elsewhere in the building, the system recognizes the match and connects the two data points into a single journey. The result is privacy-safe by design: no faces are stored, no identities are created, and the anonymous signatures are discarded after the visit, keeping the solution aligned with modern data protection principles.
For shopping malls, Re-ID unlocks insight that entrance counters alone can never provide. Operators can see which entrances feed which tenant zones, how visitors circulate between floors, where footfall drops off, and how long shoppers dwell in each area. This journey data supports smarter tenant placement, evidence-based leasing negotiations, escalator and corridor planning, and measurement of how anchor stores and events actually pull traffic through the property — turning the entire mall into a measurable, optimizable environment.
In public transportation, the impact is equally significant. Airports, train stations, and bus terminals can measure true origin-to-destination flows within the facility: which entrance passengers arrive from, which gates, platforms, or exits they move toward, and where congestion builds during peak hours. Operators use this to optimize passenger routing, security checkpoint staffing, retail concession placement, and emergency evacuation planning — improving both operational efficiency and passenger experience in Indonesia’s busiest hubs.
The target market for Re-ID people counting is any large, multi-entrance venue where understanding movement matters as much as counting heads: shopping malls and mixed-use developments, airports and rail stations, exhibition and convention centers, stadiums, and large public buildings. PT Mizu Teknologi Indonesia delivers Re-Identification-capable people counting solutions built on advanced 3D sensor technology such as the TD-Intelligence TD2000 G2, integrated through the at-MoveVis management platform — complete with consultation, deployment, and after-sales support across Indonesia. Contact our team to explore how journey analytics can elevate your venue.
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