E-Vision Empowers CCTV
With Artificial Intelligence
We offer top-tier surveillance solutions aimed at improving security and simplifying monitoring procedures. Our cutting-edge technology merges real-time analytics with high-definition video to ensure thorough situational awareness. By prioritising reliability and ease of use, we enable organisations to safeguard their assets efficiently and effectively.
Asynchronous Spatial Channels.
Zero Render Interruption.
Our process ensures smooth implementation of AI models, customized to meet industry-specific surveillance needs. Edge devices process video on premises and stream just alerts to save on resources.
Live Video Monitoring & Alarms
Real-time surveillance for enhanced security, immediate response, and AI-driven alarm systems for compliance deviation alerts.
Video Engineering Pipeline
Transforming raw data into actionable insights through scalable data pipelines and streamlined escalation management.
Operational Process Flow
Edge device discovers & connects to CCTV cameras
Capture, record, cloud storage, and video analytics
Detects abnormal situations or compliance deviations
Centralized Engine
Visibility.
E-Vision interfaces with any CCTV video device which supports RTSP and / or ONVIF protocols. The AI engine facilitates processing of real-time video streams to derive intelligence pertaining to abnormal situations, compliance deviations, customer demographics, and vehicles.
Engineered to Accelerate
Enterprise Workflows.
Real-Time Capture
Precision Accuracy
Edge Tensor Latency
Deploy the E-Vision spatial intelligence array directly into your edge infrastructure environments. Comprehensive support services ensure seamless operations and prompt assistance across your network channels.
Architectural
Compliance Layers.
Every solution within the ecosystem is governed by strict integration rules. We protect system performance by ensuring new modules layer cleanly over existing logic without causing compilation bottlenecks.
Spatial Array Segmentation
E-Vision isolates frame vectors natively inside localized processing channels. This segmentation tracks multi-object patterns simultaneously, preventing layout data loops from dropping refresh cycles.
Tensor Sharding
Pixel analytical matrices split smoothly across client thread maps, minimizing GPU pipeline stress during heavy throughput sequences.
Edge-Node Distribution
Categorized image data packages map cleanly into lightweight JSON tokens, instantly feeding control dashboards without heavy bandwidth consumption.
Modular Integration
Across Every Digital Node.
Intrusion & Threat Isolation
Processing real-time streams to derive threat matrices pertaining to intrusion, fire, loitering, and perimeter security anomalies.
Operational Adherence Tracking
AI engine handles operational audit tracking loops, monitoring parameters like shutter open/close events and wait time metrics.
Vehicle & Count Matrices
Streams target metadata loops containing vehicle number plates and discrete asset object counts straight to control systems.