Intelligent Video Analytics System (IVA)
Intelligent Video Analytics System (IVA)
Detection Types: Motion, intrusion, object left/removed
Object Classification: Human, Vehicle, Bicycle, Animal
Video Resolution Support: Up to 4K UHD
Analytics Engine: Deep learning AI model
Processing Mode: Real-time video stream analysis
Facial Recognition: Supports facial feature extraction
License Plate Recognition: Detects plates at speeds
People Counting & Heat Map: Accurate to ±2%
Intelligent Video Analytics System (IVA)
Intelligent Video Analytics (IVA) is an AI-driven technology that enhances video surveillance systems by automatically analyzing live or recorded video to detect, classify, and respond to events in real time. It uses advanced algorithms and machine learning to identify motion, track people or vehicles, and recognize unusual behavior—reducing false alarms and improving situational awareness in smart security networks.
Key Features
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AI-Powered Detection: Identifies humans, vehicles, and objects in real time using deep-learning algorithms.
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Multi-Scenario Analysis: Detects motion, intrusion, object removal, loitering, and crowd density in complex environments.
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Facial & License Plate Recognition: Integrates biometric and ANPR (Automatic Number Plate Recognition) features for enhanced access control and forensic search.
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Behavior Analysis: Detects abnormal activities like fighting, running, or falling for proactive security alerts.
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Integration Ready: Seamlessly integrates with existing CCTV, NVRs, and VMS platforms for centralized management.
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Smart Alerts & Reports: Sends real-time notifications via SMS, email, or app for instant awareness and rapid response.
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Data-Driven Insights: Provides heat maps, people counting, and traffic flow analytics for retail, transportation, and public spaces.
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Scalable & Flexible: Works with both edge-based (camera) and server-based (software) solutions for enterprise or small systems.
Technical Specification
|
Specification |
Details |
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Detection Types |
Motion, intrusion, object left/removed, loitering, perimeter breach |
|
Object Classification |
Human, vehicle, bicycle, animal, static object |
|
Video Resolution Support |
Up to 4K UHD depending on hardware capability |
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Analytics Engine |
Deep learning convolutional neural network (CNN) based AI model |
|
Processing Mode |
Real-time video stream analysis (up to 25 fps) |
|
Facial Recognition |
Supports facial feature extraction & matching up to 95% accuracy |
|
License Plate Recognition |
Detects plates at speeds up to 120 km/h (ANPR support optional) |
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People Counting & Heat Map |
Accurate to ±2%, with zone and time-based traffic reporting |
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Integration Protocols |
ONVIF, RTSP, SDK/API, JSON/HTTP for third-party VMS platforms |
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Alarm Output |
Network trigger, relay contact, or push notification |
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Event Storage |
Local database or cloud integration (AWS, Azure, private server) |
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Operating Environment |
–10 °C ~ +55 °C, humidity ≤ 95 %, non-condensing |
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Power Requirement |
PoE or 12 V DC (for camera-based IVA units) |
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Deployment Options |
Edge-based (in-camera), server-based, or hybrid architecture |
This Intelligent Video Analytics System is ideal for airports, banks, retail, traffic management, and smart cities—providing real-time intelligence, automation, and proactive incident response.
| Call for Price | No |
|---|---|
| Brand | Abetree |