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“Retail security teams often have the video they need, but finding the right person and understanding what happened across multiple cameras can take significant time,” said Song Cao, Founder and CEO of Alpha Vision. “With Person Search and Pattern Detection, we’re making it easier to follow activity across locations, understand movement patterns, and turn video into actionable intelligence much faster.”

Campbell, CA – September 8, 2026 – Alpha Vision, a Silicon Valley-based leader in AI-powered video intelligence, today announced its participation in the MNORCA 2026 Conference, taking place Wednesday, September 9, 2026, at Best Buy Headquarters in Richfield, Minnesota.

The conference brings together retail and law enforcement professionals focused on combating organized retail crime, strengthening collaboration, and sharing strategies for safer retail environments.

At MNORCA 2026, Alpha Vision will demonstrate how its AI-powered video intelligence platform helps retailers and security teams move beyond traditional video surveillance by transforming existing camera systems into searchable, actionable intelligence.

The company will also introduce new capabilities focused on one of the most time-consuming challenges in video investigations: understanding where a person went and how their activity developed across multiple cameras.

Introducing Multi-Camera Search and Trajectory Pattern Detection

Traditional investigations often require security teams to manually review footage from camera to camera to reconstruct a person’s movement. Alpha Vision’s new Person Search Across Multiple Cameras capability enables investigators to use a person identified in video as a reference and rapidly search connected cameras for visually similar appearances.

Instead of manually reviewing hours of footage, investigators can search across relevant cameras and time ranges to surface potential matches, helping them quickly reconstruct a person’s path through a store or facility.

The capability is designed to help teams:

• Search across multiple cameras using a selected person as the reference

• Follow a person’s movement through different areas and camera views

• Identify potential entry points and determine where activity began

• Identify exit activity and understand where a person may have left

• Reduce manual video review during time-sensitive investigations

• Organize relevant video evidence into a more complete investigative timeline

New Trajectory Pattern Detection

Alpha Vision is also introducing Pattern Detection, extending person search beyond an individual video event to help investigators identify recurring or related activity.

By analyzing appearances and movement across connected cameras and different points in time, Alpha Vision can help security teams identify patterns that may otherwise be difficult to recognize through manual review.

For retail and loss prevention teams, this can provide additional context when investigating recurring suspicious activity, repeat visits, coordinated incidents, or behaviors occurring across different areas of a location.

Together, the new capabilities provide three important layers of investigative intelligence:

Entry Detection

Identify where a person first appears within the camera environment and help determine how they entered the location.

Exit Detection

Track movement across cameras to help identify where and when a person leaves the monitored environment.

Trajectory Pattern Detection

Surface recurring movement and related appearances to help investigators recognize behavioral patterns across cameras and time.

Accelerating Retail Investigations with AI

Retail organizations increasingly manage hundreds or thousands of hours of video across stores, parking areas, entrances, aisles, and other environments. Finding the small amount of footage relevant to an investigation can require significant manual effort.

“Retail loss prevention teams are dealing with increasingly complex incidents that can span multiple cameras, different areas of a store, and repeated visits over time,” said Hedgie Bartol, VP of Retail Business Development at Alpha Vision. “For more than a decade, asset protection professionals have been asking for a faster way to follow individuals across multiple cameras and connect related activity over time. Person Search Across Multiple Cameras and Pattern Detection directly address that long-standing need, helping investigators reconstruct movement, uncover patterns, and find critical evidence faster.”

Alpha Vision applies AI across connected video systems to help security teams identify important activity and find relevant evidence faster.

The platform enables retail security and loss prevention teams to:

• Detect critical events in real time

• Search recorded video using natural language

• Find people and vehicles across video

• Investigate activity across multiple cameras

• Identify entry, exit, and movement patterns

• Generate actionable alerts and incident intelligence

• Organize relevant video into investigations

• Reduce dependence on continuous manual monitoring

• Extend AI intelligence across compatible existing camera infrastructure

These capabilities build on Alpha Vision’s existing approach to automated video analysis, natural-language search, real-time alerts, reporting, workflow automation, and multi-camera investigations. The previous NRTCCA release similarly positions Alpha Vision around accelerated multi-camera investigations and turning large volumes of video into actionable intelligence.

“Organized retail crime investigations rarely happen within the view of a single camera,” said Yi Jin, Ph.D., Co-Founder and Chief Marketing Officer at Alpha Vision. “The goal is to help investigators connect those moments automatically—where someone entered, where they went, when they exited, and whether similar activity has happened before.”

Helping Retailers Move from Video Search to Video Intelligence

Alpha Vision believes the next generation of retail security will go beyond simply recording incidents or searching individual cameras.

AI-powered video intelligence can help teams understand who appeared, where they moved, how events are connected, and whether a larger pattern exists, allowing security professionals to spend less time reviewing footage and more time acting on meaningful information.

Attendees at MNORCA 2026 are encouraged to meet with Alpha Vision and experience live demonstrations of Person Search Across Multiple Cameras, Entry Detection, Exit Detection, Pattern Detection, and the company’s broader AI-powered video intelligence platform.

About Alpha Vision:

Alpha Vision is a Silicon Valley startup, located in Campbell, CA, creating the world’s leading Agentic Video Intelligence Platform. We help organizations transform traditional surveillance into AI-powered security and operational intelligence. Our platform combines advanced video understanding, natural language search, automated reporting, and workflow automation to help teams act faster across environments.

Media Contact
Company Name: Alpha Vision
Contact Person: Yi Jin
Email: Send Email
Address:1901 S. Bascom Avenue #1180
City: Campbell
State: CA
Country: United States
Website: https://alphavision.ai/