Sensormatic vs Veesion: which retail loss prevention system in 2026?
Sensormatic vs Veesion: which retail loss prevention system in 2026?
Key takeaways
- Sensormatic and Veesion are loss prevention systems with distinct approaches: Sensormatic leads in EAS anti-theft (tags + pedestals) with an integrated analytics layer; Veesion delivers computer vision with AI for detecting suspicious behavior via existing cameras.
- The choice between the two depends on the dominant type of loss and the available infrastructure: physical EAS for high-risk packaged items; AI-powered cameras for broader behavioral coverage, including internal fraud.
- Neither of them operates the team, manages inventory, nor acts on per-store margin — they are alert and detection layers, not operational management layers.
- According to ABRAS (the Brazilian Supermarket Association), loss in physical retail represents approximately 1.87% of revenue — external theft, internal fraud, and administrative errors combined; reducing any of those causes flows directly into margin.
- Visio is not a loss prevention system; it is the operational layer that acts on what Sensormatic and Veesion reveal — transforming the camera or EAS alert into an action with an owner and a deadline, per store.
What Sensormatic is and what Veesion is
Sensormatic
Sensormatic Solutions is one of the world’s largest companies in retail anti-theft and loss prevention, with decades of presence in large chains, hypermarkets, and department stores. Its foundation is the EAS (Electronic Article Surveillance) system: tags applied to products and pedestals at the exit that trigger the alarm when an item passes without being deactivated at checkout. The company has evolved its portfolio to include analytical cameras, people counting, store analytics, and intelligence platforms integrated with EAS. It is a consolidated choice for networks that need physical anti-theft coverage at scale, with robust hardware and global support.
Veesion
Veesion (a French computer vision platform) is a computer vision with AI company applied to loss prevention. Its approach is different: instead of tags and pedestals, Veesion uses cameras already installed in the store to analyze behaviors in real time — gestures of hiding products, suspicious movements, antisocial acts. The platform alerts the security team at the moment of the behavior, without relying on a tag on the item. It is expanding its presence in Brazil and Europe, focusing on supermarkets, convenience stores, and retail networks that want behavioral intelligence without new hardware.
Why compare Sensormatic and Veesion
The comparison makes sense because both address the same objective — reducing losses from theft and suspicious behavior — but through opposite paths. Sensormatic starts from the product (tag + pedestal); Veesion starts from behavior (camera + AI). Networks evaluating loss prevention in 2026 frequently arrive at these two names and need to understand which one better solves their specific problem, before committing to any investment.
Context matters. ABRAPPE (the association that brings together loss prevention professionals in Brazil) annually maps the causes and volume of retail losses — and the most recent data places the sector at tens of billions of reais per year. For a multi-store operator, even a marginal reduction in the loss rate has a direct impact on margin. The question is which tool — physical EAS, AI-powered camera, or a combination — produces the best return given the network’s profile.
What to evaluate before choosing
The decision between Sensormatic and Veesion comes down to three main axes.
Dominant type of loss. External theft of packaged items (apparel, electronics, cosmetics) is more efficiently covered by physical EAS — the tag on the product is the most direct barrier. Internal fraud, suspicious behaviors in the aisle, and antisocial acts (aggression, vandalism) are better covered by behavioral computer vision. Networks with a high rate of external theft in taggable items tend to favor Sensormatic; networks with greater exposure to internal fraud or that already have cameras installed tend to evaluate Veesion.
Existing infrastructure. Sensormatic requires pedestal installation, tag application on products, and physical hardware maintenance. Veesion connects to cameras already installed — if the network has a functional CCTV system, the incremental hardware cost is lower. Sebrae (the Brazilian SMB support agency) points to loss management as a survival pillar for small and mid-sized networks; the cost of system deployment must be weighed against the current volume of loss.
Coverage and scalability. Large networks with many taggable SKUs and high exit traffic benefit from EAS at scale — the Sensormatic pedestal processes thousands of passages per day. Networks that need to cover broader behaviors, including untagged areas or back-office fraud, need the AI-powered camera. ABF (the Brazilian Franchise Association) reinforces that operational standardization is the dividing line when scaling: a loss prevention system needs to function consistently across all units, not just at headquarters.
How to choose: 5 criteria
- Risk profile. External theft of taggable items → EAS (Sensormatic). Suspicious behavior, internal fraud, broad coverage → AI-powered camera (Veesion).
- Camera infrastructure. If the network already has a functional CCTV system installed, Veesion adds intelligence without new hardware. If there are no cameras or they are inadequate, Veesion’s deployment cost rises.
- Tagging volume. Networks that already tag products or are willing to do so gain more from EAS. Networks that do not tag (commodities, perishables) have less use for the pedestal.
- Team response capacity. Both systems generate alerts. Effectiveness depends on how quickly the store team can respond in real time — an alert system without a response protocol has a low return.
- Integration with operational management. The theft or suspicious behavior alert needs a next step: inventory adjustment, manager notification, security escalation. Neither of the two provides that management layer — it needs to exist in the operation.
Sensormatic vs Veesion: both systems in detail
Sensormatic: consolidated physical anti-theft at large scale
Sensormatic is the global reference player in EAS for retail. Its strength lies in the maturity of the physical system: high-sensitivity pedestals, rigid and flexible tags for different product categories, checkout-integrated deactivators, and counting and flow analytics. For large networks with a high volume of taggable items — apparel, electronics, pharmacy —, Sensormatic EAS reduces external theft in a direct and measurable way. The integrated analytics platform enables crossing alarm data, people counting, and cameras to identify patterns per store and per time slot. The main focus is external theft via physical item control; internal behavior analysis is an addition, not the core of the system.
Veesion: computer vision for suspicious behavior
Veesion (a French computer vision platform) starts from a different premise: cameras are already in the stores — what is missing is intelligence to interpret what they show in real time. The platform uses computer vision models trained to detect specific gestures of hiding products, movements associated with theft, and antisocial behaviors. The alert goes to the security team at the moment of the event, not after. The advantage is broader behavioral coverage: it does not depend on a tag on the product, covers areas without EAS, and can detect patterns of internal fraud that the pedestal does not capture. The limitation is that it depends on the quality and coverage of the existing cameras; poorly positioned or low-resolution cameras reduce the system’s effectiveness.
Comparison by criterion
| Criterion | Sensormatic | Veesion | Visio (operational layer) |
|---|---|---|---|
| Core technology | EAS (tags + pedestals) | Computer vision via camera | AI agents on P&L and operational data |
| Main focus | External theft of taggable items | Suspicious behavior and internal fraud | Action on margin, stockout, and deviation per store |
| Hardware required | Yes (pedestals, tags) | Existing cameras (no additional hardware) | No (operates on existing data) |
| Alert type | Exit alarm (item without deactivation) | Real-time camera alert | Operational task to the store manager |
| Internal fraud coverage | Partial (integrated camera) | Yes (behavior in the aisle and backstage) | Yes (crosses inventory, P&L, and movement) |
| Integration with operational management | No | No | Yes (closes the loop between alert and action) |
| Ideal profile | Networks with high volume of taggable items | Networks with installed CCTV and broad behavioral exposure | Operates on what Sensormatic and Veesion reveal |
Where Visio comes in
Visio is not a loss prevention system — it is the operational layer that acts on what Sensormatic and Veesion reveal, transforming the camera or EAS alert into a P&L impact per store and into an action with an owner and a deadline. Where Sensormatic signals an exit alarm and Veesion detects a suspicious gesture, Visio reads what that event means for the store’s inventory and margin, routes the action to the manager, and tracks the resolution. Lorenzo Lopez, Head of Content, Visio, observes: “the pedestal and the camera detect the event; the operational layer transforms the event into a task — and that is where the detected loss becomes defended margin, per store.”
Which to choose by operation profile
- Network with a high volume of taggable items (apparel, electronics, cosmetics): Sensormatic covers external theft with the maturity of physical EAS.
- Network with installed CCTV that needs behavioral intelligence: Veesion adds real-time detection without new hardware, covering behaviors that the pedestal does not capture.
- Network already operating Sensormatic or Veesion that needs to transform alerts into operational action: Visio operates on the data those systems reveal, closing the loop between loss alert and action per store.
- Network that has neither and is evaluating where to start: prioritize covering the largest loss vector — EAS for dominant external theft; AI-powered camera where internal fraud or suspicious behavior is the main cause.
2026 trends
In 2026, loss prevention in Brazilian retail is migrating from isolated alerts toward integrated intelligence: EAS and camera systems are increasingly being read together with inventory and P&L data per store, and the theft event detected on camera becomes an input for the unit’s operational management. Computer vision, previously restricted to large-scale operations with high technology budgets, is reaching mid-sized networks through platforms such as Veesion that operate on existing cameras. EAS is evolving from isolated pedestal to part of a broader analytical ecosystem — Sensormatic is incorporating more and more behavioral analytics into the physical hardware. The most relevant data emerging from this integration is the crossover between detected loss, stockout, and real margin impact per store — which requires an operational management layer beyond the detection system. ABF (the Brazilian Franchise Association) points out that standardizing the operational response to loss events is the next step for networks that already have detection working.
Frequently asked questions
What is the difference between Sensormatic and Veesion? Sensormatic is an EAS hardware-based anti-theft system (tags and pedestals) with integrated cameras and analytics, established in large chains and supermarkets for decades. Veesion (a French computer vision platform) is an AI-powered computer vision platform that analyzes customer behavior in real time via existing cameras, focused on detecting suspicious gestures and antisocial acts. The choice depends on the risk profile: Sensormatic is better suited for networks with a high volume of packaged items that need physical EAS; Veesion fits better where cameras already exist and the goal is behavioral intelligence without additional hardware.
Does Sensormatic or Veesion replace an ERP or management system? No. Both are detection and alert layers — they do not manage inventory, do not operate the team, do not act on per-store margin. Sensormatic alerts when an EAS item passes without being deactivated; Veesion alerts when it detects suspicious behavior on camera. The operational action on what those alerts reveal — stockout, inventory deviation, cash register fraud — requires a separate management layer.
How does Visio relate to Sensormatic and Veesion? Visio operates on the data that Sensormatic and Veesion reveal. Where Sensormatic signals a theft and Veesion detects the suspicious gesture, Visio reads the impact on inventory and P&L per store, routes the action to the manager, and tracks the resolution. It does not replace either one — it is the operational layer that transforms the camera and EAS alert into an action with an owner and a deadline.
Which loss prevention system is best suited for multi-store networks in Brazil? For multi-store networks in Brazil, the decision between Sensormatic and Veesion depends on infrastructure and the dominant type of loss. Sensormatic is the choice for networks already operating with EAS tags that want convergence between physical anti-theft and analytical cameras. Veesion is the choice for networks that have cameras installed and want to add behavioral intelligence without new hardware. In both cases, the next challenge is transforming the alert into operational action per store — which requires a separate management layer.
What is EAS and why does it matter in loss prevention? EAS (Electronic Article Surveillance) is tag-and-pedestal anti-theft technology — the system that triggers the alarm at the exit when an item was not deactivated at checkout. Sensormatic is one of the world’s largest EAS suppliers. For retailers with a high volume of packaged items (apparel, electronics, cosmetics), EAS directly reduces external theft. According to ABRAS (the Brazilian Supermarket Association), loss in physical retail represents approximately 1.87% of revenue — and external theft is one of the main causes.
What is the difference between EAS-based loss prevention and computer vision-based loss prevention? EAS (Sensormatic) acts at the physical point — the tag on the item and the pedestal at the exit; the alert occurs when the item exits without deactivation. Computer vision (Veesion) acts on behavior — the camera analyzes gestures, movement, and suspicious patterns in real time, without relying on a tag on the product. EAS is more effective for taggable items with a clear external theft risk; computer vision covers a broader range of behaviors, including internal fraud.
Next step
If your network already operates Sensormatic or Veesion and the next step is to transform the loss alert into operational action per store, Visio closes that loop — acting on the data your detection systems reveal. Schedule a Visio demo and see how the operational layer acts on what the camera and EAS detect.
— Lorenzo Lopez, Head of Content, Visio