Unifying Casino Surveillance Systems with Vaidio AI and Mirasys

Challenge

The modern casino environment presents complex security challenges that require sophisticated surveillance solutions. Casino floors typically contain thousands of gaming positions, multiple entrances and exits, restaurants, entertainment venues, and hotel facilities—all requiring constant monitoring. With hundreds or even thousands of cameras generating massive volumes of video data, surveillance teams are tasked with identifying specific individuals and activities in real-time while also conducting detailed investigations when incidents occur.

At the core of this challenge was a critical operational problem: the disconnection between license plate recognition (LPR) and facial recognition systems within casino surveillance departments. These advanced security technologies—essential for identifying persons of interest—operated as isolated islands, each with its own separate monitoring system, user interface, and database.

Surveillance operators were forced to navigate between multiple screens and systems when tracking individuals from parking facilities into the casino property, breaking the chain of identification and creating dangerous security gaps.

As Max Davis from Mirasys explained based on feedback from numerous casino surveillance directors: "They kept telling us how frustrated they were with these siloed systems. Operators were constantly toggling between different interfaces, losing precious seconds that could make the difference between intercepting a problem individual or missing them entirely."
This fragmentation created multiple challenges:

• Operational inefficiency: Security staff had to monitor multiple screens simultaneously, switching between systems to track persons of interest, with no centralized view of all surveillance data
• Delayed response time: The lack of integration slowed down the identification and response to security threats, especially when individuals needed to be tracked from vehicles to the gaming floor
• Incomplete intelligence: Without unified data, casinos couldn't make connections between vehicles, individuals, and patterns of behavior or establish relationships between suspected advantage players working as teams
• Missed security opportunities: Many casinos needed to identify several categories of individuals including self-excluded gamblers (who can legally seek restitution if allowed to gamble), advantage players (professional cheaters), banned visitors, and VIPs requiring enhanced service—all requiring different response protocols

Beyond these basic identification needs, casinos also lacked advanced analytical capabilities that could transform their surveillance operations from reactive to proactive. They were unable to perform sophisticated functions such as cross-camera tracking (following subjects throughout the property), appearance-based searching (finding individuals based on clothing or accessories when faces weren't visible), and business intelligence gathering around visitor demographics and traffic patterns that could improve operational efficiency.

Impact

The consequences of disjointed surveillance systems extended far beyond mere operational inconvenience. Without an integrated solution connecting license plate recognition and facial recognition, casinos were operating in a reactive security environment that created significant business vulnerabilities and financial risks:

• Regulatory and Legal Exposure: Self-excluded problem gamblers could easily gain access to the gaming floor despite registering their vehicles, creating serious legal and financial liability. When these individuals inevitably sought compensation for losses—which they are legally entitled to do—casinos faced substantial financial penalties, regulatory scrutiny, and potential damage to their gaming licenses. For major properties, these claims could potentially amount to millions in annual losses.
• Revenue Protection Challenges: Professional advantage players and organized cheating teams had extended windows of opportunity to operate before being identified. By the time surveillance teams correlated information across systems, these individuals could already impact table game revenue significantly. Industry estimates suggest that a skilled advantage player can cost a casino $5,000-$10,000 per hour before being detected.
• Operational Strain: Security personnel faced increasing cognitive load from monitoring multiple isolated systems, leading to fatigue, reduced vigilance, and potential oversight of critical security events. This translated to higher staffing requirements and increased training costs to maintain effective coverage across fragmented platforms.
• Lost Business Intelligence: Valuable data on visitor patterns, demographics, traffic flow, and player behavior remained trapped in separate systems or went uncollected entirely. Without these insights, casinos missed opportunities to optimize floor layouts, staffing, game placement, and promotional activities that could significantly enhance revenue.
• Compromised VIP Experiences: High-value guests often went unrecognized between their arrival in the parking facility and reaching the casino floor, resulting in delayed service recognition. This missed opportunity to provide seamless VIP treatment directly affected customer loyalty, repeat visits, and revenue from the most profitable player segments.

From a technical perspective, the siloed approach created substantial inefficiencies. Separate systems required redundant hardware, duplicate maintenance contracts, multiple vendor relationships, different training programs, and incompatible software updates. This fragmentation not only increased total cost of ownership but also created technological debt that would become increasingly challenging to address as systems aged.

Most critically, the disconnected systems fundamentally handicapped security teams' ability to proactively address threats by forcing them to manually correlate data across platforms—a process too slow to enable real-time intervention for many security scenarios.

Solution

To modernize casino surveillance without requiring wholesale infrastructure replacement, Mirasys partnered with Vaidio.ai to create a seamlessly integrated solution. After testing several AI platforms, Mirasys found that "Vaidio performed the best. They used the least amount of resources and the partnership was there to work with us."
The implementation involved several key components:

Hardware & Infrastructure

• Enterprise-grade Dell servers with 5-year warranties, providing a complete total cost of ownership solution
• Servers specified not just for current needs but with additional capacity to accommodate future growth
• Existing cameras optimized through expert tuning for LPR and facial recognition

Software Integration

• Vaidio AI analytics engine for facial recognition, LPR, and additional analytics
• Custom integration service built on Docker technology to connect systems
• Unified interface allowing access to all AI functions directly within Mirasys

Advanced Capabilities

• Facial Recognition: Identifying self-excluded individuals, advantage players, and VIPs
• License Plate Recognition: Tracking vehicles entering and exiting properties
  Cross-Camera Tracking: Following subjects across multiple camera feeds
  Appearance Search: Finding individuals based on clothing, bags, or other characteristics
• Business Intelligence: Age/gender analytics, traffic flow, people counting

Implementation Approach

• Comprehensive assessment of existing camera infrastructure
• Expert support from the Vaidio team to optimize camera positioning and settings
• White-glove installation service with minimal disruption to operations
• Custom configuration to work with the casino's existing camera systems without replacement
• Hands-on training for surveillance staff to ensure quick adoption

The solution has been successfully implemented at multiple casino properties across the United States. Initial deployments started with targeted implementations focusing on specific high-priority use cases, followed by expansion to additional analytics and camera coverage as value was demonstrated.

The integration created immediate improvements in security operations. In one particularly compelling case, the system demonstrated its proactive security capabilities when security staff received an email alert about a known advantage player who might be targeting their property. The surveillance team simply imported the individual's photo into the Vaidio system, which then identified the person upon arrival—before they could engage in any fraudulent activity. This early identification prevented potential revenue loss and demonstrated the system's value as a proactive security tool rather than merely a reactive investigation resource.

Conclusion

Vaidio.ai's AI-powered analytics, combined with Mirasys's deep experience in casino video management, helped transform casino surveillance from reactive to proactive security. The solution preserved existing camera infrastructure, enhanced threat detection, and enabled seamless integration—demonstrating that intelligent surveillance doesn't have to mean high cost or complexity. What began as a project to unify facial recognition and LPR has evolved into a comprehensive security and business intelligence platform delivering value across multiple casino departments.

About Mirasys

Mirasys is a leading provider of open platform Video Management Systems (VMS) established in 1997. The company specializes in creating software solutions that manage large camera groups across diverse environments. With a strong focus on the gaming and casino industry, Mirasys has become the corporate standard for major operators including Caesars, MGM, and tribal gaming facilities like Seneca casinos. Their approach emphasizes native integration with camera manufacturers and third-party systems, providing reliable, feature-rich surveillance capabilities while maintaining flexibility and openness.