AI Facial Recognition for Wisenet WAVE: How FaceMe® Security Enhances Hanwha Video Surveillance
Modern video surveillance systems must do more than just record footage, they need to provide actionable security intelligence. Organizations using Hanwha Vision’s Wisenet WAVE VMS often look for ways to enhance their surveillance systems with advanced AI video analytics without replacing existing infrastructure. As security teams work to improve threat detection, accelerate investigations, and strengthen access control, AI facial recognition for video management systems (VMS) has become an essential capability for modern security operations.
To meet this need, FaceMe® Security provides a native integration with Wisenet WAVE, enabling plug-and-play AI facial recognition directly inside the VMS interface. By embedding enterprise-grade facial recognition into existing Hanwha camera deployments, FaceMe® transforms Wisenet WAVE into a smarter, more proactive security platform, empowering teams to respond faster and make informed decisions without disrupting established workflows or requiring a rip-and-replace upgrade.
Adding AI Facial Recognition to Wisenet WAVE, Without Replacing Your VMS
Wisenet WAVE, is a flexible, scalable video management system widely used across enterprise, public safety, and commercial environments. FaceMe® Security enhances Wisenet WAVE by adding AI-powered facial recognition software directly into the platform. Using the FaceMe® Security plugin, users can access facial recognition features from within the familiar Wisenet WAVE interface. This allows security teams to analyze live and recorded video, perform identity-based searches, and respond to events more efficiently, all from a single system.
Because FaceMe® Security integrates seamlessly with existing Hanwha Vision camera deployments, organizations can modernize their video surveillance systems without a rip-and-replace upgrade.
Facial Recognition Capabilities Within Wisenet WAVE
The integration of FaceMe® Security and Wisenet WAVE supports a wide range of video analytics and facial recognition use cases, including:
Real-Time Facial Recognition Alerts
Security teams can create watchlists or blocklists to automatically detect individuals of interest. When a match is identified, the system triggers alerts in real time, enabling faster response to potential security threats or unauthorized access.
Fast Facial Search and Video Forensics
AI-powered facial recognition dramatically reduces the time required to locate a person of interest across multiple cameras and timeframes. Instead of manually reviewing footage, investigators can quickly identify where and when a person appears.
Enhanced Investigative Capabilities with FaceMe® Locator
The FaceMe Locator plug-in enables users to search for facial recognition events directly within WAVE VMS using a face image sourced from either an image file or a recorded video.
With just three simple steps, users can upload a facial image or video file to initiate a search, browse a list of matched results, and click “Play Video” to view the recording from the start of the detected event.
High Accuracy in Real-World Surveillance Conditions
FaceMe® Security is designed for real-world environments, delivering reliable performance across varied lighting, camera angles, image quality, and partial face visibility. At the core of these capabilities is the FaceMe® AI facial recognition engine, which achieved 99.83% accuracy in NIST testing, making it suitable for security-critical applications.
Operational Benefits for Security Teams and System Integrators
Deploying FaceMe® Security with Wisenet WAVE delivers measurable operational advantages, including:
- Faster security response through real-time identification
- Reduced investigation time with AI-driven facial search
- Lower operator workload by automating identity detection
- Scalable facial recognition analytics across large camera networks
For system integrators, this integration offers a flexible way to deliver AI video analytics while maximizing existing Hanwha Vision infrastructure and minimizing deployment complexity.
Real-World Use Cases: Facial Recognition at Scale
The FaceMe® Security and Wisenet WAVE integration is already being used in large-scale, real-world environments. In one deployment, a major expo center and fairgrounds operating across more than 80 acres and supported by over 360 Hanwha cameras leveraged FaceMe® Security to:
- Prevent entry by known blocklisted individuals
- Improve situational awareness across a multi-camera site
- Quickly locate missing persons or persons of interest
- Enhance public safety during large events
These outcomes demonstrate how AI facial recognition for video surveillance can improve both security operations and visitor safety in complex, high-traffic environments.
Why FaceMe® Security Is the Right Facial Recognition Solution for Hanwha Vision Users
FaceMe® Security is purpose-built to integrate with leading VMS platforms and meet enterprise-grade security requirements. For organizations using Hanwha Vision Wisenet WAVE, FaceMe® Security provides:
- Seamless integration with Wisenet WAVE VMS
- Industry-leading facial recognition accuracy
- Flexible deployment across enterprise, public sector, and critical infrastructure environments
From transportation hubs and public venues to enterprise campuses and education, FaceMe® Security enhances Hanwha Vision video surveillance with intelligent, AI-driven insights.
How FaceMe Security Integrates with Hanwha Vision WiseNet Wave
Hanwha Vision’s Wisenet WAVE VMS features a robust ecosystem that enables customers to expand their systems with the technologies required to address evolving threats.
The decentralized architecture of FaceMe® Security delivers exceptional configuration flexibility and high availability, especially when combined with Hanwha Vision’s Wisenet WAVE VMS capability to merge multiple independent VMS systems.
By aggregating video streams from multiple Hanwha WAVE VMS, the FaceMe Workstation analyzes the characteristic values and compares them with the database in FaceMe Central to identify the person and set the corresponding permissions. When set conditions occur (for example: blocklist, contractor, stranger), FaceMe Central can immediately notify Hanwha WAVE VMS to determine the appropriate action.
Transforming Video Surveillance into Proactive Security Intelligence
The integration of FaceMe® Security with Hanwha Vision Wisenet WAVE represents the next evolution of video surveillance - moving from passive monitoring to proactive, intelligence-driven security.
By combining a trusted VMS with proven AI facial recognition technology, organizations can better understand who is in their spaces, respond faster to incidents, and improve safety, without overhauling existing systems.
To learn more about FaceMe® Security facial recognition for Wisenet WAVE, or to request a demo, contact the FaceMe team today.
