Edge-Based Deep Learning Analytics

A New Standard in Security Solutions

The latest edge-based deep learning analytics technology enhances surveillance systems with powerful, real-time detection capabilities. These advanced features maintain the same sleek design but offer superior analytics for person, object, and vehicle detection, seamlessly integrated with cloud services for instant notifications. Ideal for perimeter protection, business intelligence, and more.

Superior Precision: Edge-Based Analytics vs. Traditional Solutions

3xLOGIC's Edge-Based Deep Learning Analytics use dedicated trackers for specific applications like retail, perimeter protection, and object recognition, enhancing performance and precision. These analytics are trained on industry-specific data, reducing false alarms and increasing accuracy. This specialized approach gives 3xLOGIC a competitive edge in the market.

presence
PRESENCE

When an object type is first detected within a selected zone

tamper detection
TAMPER DETECTION

Detects interference events for selected camera(s)

enter
ENTER

When an object crosses from outside of a zone to inside of a zone

exit
EXIT

When an object crosses from inside of a zone to the outside

appear
APPEAR

When an object starts being tracked inside a zone

disappear
DISAPPEAR

 When an object stops being tracked inside a zone

stopped filter
STOPPED FILTER

 When an object stops in a zone for longer than a set period

dwell time
DWELL TIME

When a moving object remains present in a zone past a duration

object tracker icon
OBJECT TRACKER

On-screen tracker indicators display around objects

object direction
OBJECT DIRECTION

When object crosses line in a direction and meets criteria

abandoned object
ABANDONED OBJECT

When an object is left stationary in a zone for a specified time

tailgating
TAILGATING

When two objects cross a line or Zone in a defined

counting
COUNTING

Increases the count based on defined parameters

logical rules
LOGICAL RULES

Combines rules to create a complex filter to reduce false events

anpr mmcr
ANPR/MMCR

ANPR (Automatic Number Plate Recognition) + MMCR (Make, Model, Color, Recognition)

Optimal Applications for Edge-Based Deep Learning Analytics

3xLOGIC's Edge Based Deep Learning Analytics excels in various lighting conditions for both indoor and outdoor detection. It is most effective in visible light environments and can handle vehicle detection at speeds up to 30 mph. For ANPR applications, it captures license plates from 60 feet at speeds up to 75 mph, integrating seamlessly with VIGIL Server for enhanced vehicle access and parking management.

Learn More About ANPR

Choose Your Optimal Security Solution

Choose between 3xLOGIC’s Edge Based Deep Learning X-Series Cameras for business insights and 3xLOGIC’s Deep Learning 8MP and 5MP Analytics Cameras for advanced reporting and analytics. Both enhance your business intelligence and security capabilities.

3xLOGIC’s Edge Based Deep Learning X-Series Cameras

  • Type of Cameras: Dome and bullet security cameras.
  • Detection Capabilities: Detect and track people, objects, vehicles.
  • Integration: Combines with VIGIL CLOUD.

Learn More

3xLOGIC’s Deep Learning 8MP and 5MP Analytics Cameras

  • Type of Cameras: 8MP and 5MP analytics cameras.
  • Detection Capabilities: Person, object, vehicle detection.
  • Integration: Edge and server-based BI.

Learn More

Explore More with Our Free Guide

Discover how cutting-edge deep learning analytics can transform your surveillance system with real-time, actionable insights. Download our white paper to explore how these Innovations can enhance perimeter protection, business intelligence, and overall security.

Contact us today to learn how 3xLOGIC Edge-Based Analytics can transform your operations.

Our solution excels in various lighting conditions, detecting vehicles up to 30 mph and capturing license plates from 60 feet at speeds up to 75 mph. Integrates seamlessly with VIGIL Server for enhanced vehicle access and parking management.

Schedule a Demo