Turn movement in physical spaces into clear decisions about layout, staffing, engagement, and operations.
Live website: visppy.com
Supporters & Commercial Partners
Supporters, programs, and commercial partners associated with the project.
 Centelha SE |
 Semente |
 Sebrae Startups |
 Sebrae NEON 2024 |
 M360 |
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The project now presented as Visppy was evaluated under its former name, Imagyx: monitoramento visual de espaços coletivos por IA, with Ariel Lima Abade Bandeira as the proponent. In the official preliminary Phase 2 result, it appears among the 100 projects selected for the next stage and among the 47 projects approved in the general classification.
Visppy helps teams understand what is happening inside stores, activations, stands, lecture rooms, and other physical environments.
It turns observed movement into answers such as:
- Where does attention or congestion accumulate?
- Which paths connect areas of the space?
- Where do people stay, pass through, or disengage?
- How should layout, staffing, signage, or measurement change?
flowchart LR
SPACE[Physical space] --> OBS[Observed people and objects]
OBS --> MOVEMENT[Movement, zones, dwell, and occupancy]
MOVEMENT --> INSIGHT[Flows, heatmaps, comparisons, and timing]
INSIGHT --> ACTION[Layout, staffing, activation, and measurement decisions]
The public portfolio shows the decision layer. It intentionally does not publish private implementation rules, customer-specific calibration, thresholds, credentials, or commercial logic.
| Deliverable | Client question it supports |
|---|---|
| Zone map and heatmap | Where is visible demand concentrated? |
| Flow and journey view | How do people move between areas? |
| Occupancy and dwell view | Which areas retain attention or create pressure? |
| Time-based analysis | When should the team act? |
| Impact-versus-effort view | Which improvement should be tested first? |
| Measurement roadmap | What signal is still needed to connect behavior to business results? |
The analysis identifies a circulation-heavy side of the stand, a transition toward the central screen, and a more consultative area. The recommended move is to test a clearer call to action and staffing at the transition without blocking the corridor.
Client takeaway: distinguish passage from qualified attention before changing the activation.
The store analysis uses the real spatial layout instead of forcing a generic three-zone story. It separates outside flow, gateways, retention areas, and fixed structures so that entry, permanence, and operational friction can be discussed separately.
Client takeaway: measure the entrance and qualified permanence before claiming conversion.
The lecture-room analysis treats a mostly stationary audience as expected behavior. It focuses on distribution, circulation, camera framing, and a limited short-horizon forecast rather than inferring attention or participation from stillness.
Client takeaway: use room-specific signals and explicit participation events for events and presentations.
Zones make the conversation concrete: a hotspot can be a meaningful area, a corridor, furniture, or a waiting point. The visual must always be read with the layout.
The regional view supports consistent comparisons between left, central, and right areas.
Movement between regions helps teams compare paths and identify where a journey becomes concentrated.
Internal flows show how a doorway, corridor, or back area can connect the wider journey.
The matrix translates observations into a practical order of experiments.
Measurement quality varies by area. This is why comparisons should be made with the camera, distance, occlusion, and geometry in mind.
Volume and quality are different signals: the busiest area is not automatically the most valuable one.
Visppy reports visible behavior and spatial patterns. Video alone does not prove unique visitors, identity, gaze, emotion, demographics, attention, conversion, sales, or return on investment.
Reliable business conclusions require the right supporting signals, such as validated entry lines, check-in, QR events, customer records, point-of-sale events, human review, or approved operational context.
The public portfolio excludes customer footage, identifiable people, private endpoints, credentials, raw observation files, model weights, and proprietary rules. See the privacy and safe publication policy.
- Product case study — the problem, product response, and decision stories.
- Spatial analytics — zones, heatmaps, flows, dwell, and interpretation limits.
- Video analytics — timing, peaks, phases, and forecasting boundaries.
- High-level architecture — the public flow from space to decision.
For the product itself, visit visppy.com.