CCTV-analytics only works when it reduces operator load and aligns with real workflows, providing clear events, quick evidence, and defined actions. This requires computer vision and an operational layer on top of your existing cameras.
CCTV-Analytics
Turn CCTV into real-time analytics with alerts and auditable timelines, without replacing your VMS
Smart Surveillance
Enterprise CCTV environments fail in predictable ways.
Operators can’t monitor hundreds of feeds continuously, so issues are discovered after the fact. Motion alerts don’t reflect real risk and get ignored. Investigations take hours because VMS is built for playback, not fast search.
In Practice
CCTV-Analytics in Action
Event Detection
We run AI in real-time, detecting motion, objects, and anomalies, and turning them into structured events for search, review, and audit.
Alerting & Response
Alerts lead to decisions like notifying security, opening tickets, escalating issues, or documenting compliance, with context and API outputs.
Event Classification
Teams skip hours of footage and focus only on categorized events with timestamps, summaries, and evidence clips tied to each detection.
Custom Pipelines
Use ready pipelines for PPE, zones, perimeter, and activity tracking, or extend with custom ML and computer vision models.
Network Scale
Monitor large camera networks with consistent coverage across sites, even with limited staff and uneven operator expertise.
Workflow Automation
AI Agents handle triage, evidence assembly, routing, and summaries with human oversight, ensuring consistent and auditable actions.
Integration & deployment
VMS Integration
We integrate with existing VMS systems to add analytics, search, and reporting without replacing infrastructure.
Deployment Options
Cloud, on-prem, or hybrid setups, depending on latency, privacy, and data control needs, including edge-to-cloud processing for remote sites.
API Integration
We provide APIs and workflows for tagging, search, alerts, and dashboards that integrate with VMS, SIEM, and enterprise tools, as well as support for custom detection pipelines.
CCTV-Analytics Expertise
Perimeter Security
Detect unauthorized entry into restricted areas with time-stamped events, evidence clips, and alerts routed to the right systems for response and audit.
Zone Monitoring
Detect movement into controlled zones or restricted areas and generate searchable incident timelines with full camera and timestamp context.
Crowd Analytics
Detect congestion, queues, and flow changes across zones and provide aggregated counts and trends for staffing and operational planning dashboards.
Safety Compliance
Detect PPE usage such as helmets, vests, gloves, and masks using computer vision and generate structured compliance events for safety review and audit.
Hazard Detection
Detect operational or environmental anomalies in real-time and trigger alerts with attached video evidence for fast on-site response workflows and rapid incident resolution.
Vehicle Analytics
Detect vehicle presence and movement, license plate recognition to produce structured events for tracking, enforcement, and operational analysis.
How It Works
Video Ingest
Connect live or recorded camera feeds.
AI Processing
Run computer vision pipelines.
Event Detection
Detect and structure activity.
System Outputs
Deliver alerts, dashboards, APIs.
DXHub
DXHUB is a modular AI Platform.
It takes fragmented video, documents, and multimodal inputs and converts them into structured, searchable, model-ready data without requiring changes to your existing infrastructure.
Transforms raw data into AI-ready formats
Unifies video, documents, and sensors
AI chat for quick summaries and guidance
CAMBOX PRO
CAMBOX PRO is a portable AI camera with 4K dual cameras, on-device AI, GPS, and remote connectivity. Designed for harsh environments, it delivers intelligent situational awareness with minimal setup and maintenance.
Autonomous, battery-powered stereo vision
Real-time edge AI detection and tracking
Rugged, connected field deployment
Industries We Transform
Automate PPE checks, site safety audits, and equipment tracking with real-time computer vision.
Securely process
documents, control access, and detect incidents in hospitals with AI.
Automate claim reviews
and document validation
with AI-powered data extraction.
Stop watching screens, work on events
Replace constant monitoring with event-driven workflows, real-time alerts, and clear next actions inside your existing surveillance systems
Frequently Asked Questions
Can this scale across hundreds or thousands of cameras?
The platform is built for large-scale surveillance systems with distributed processing and flexible deployment. Video analytics workloads can run in cloud, on-prem, or edge environments, depending on capacity needs. DXHub manages event aggregation, search, and workflows across sites without overloading operators.
What deployment options are available for different environments?
You can deploy video analytics in the cloud, on-prem, hybrid, or directly on edge devices. For low-latency or bandwidth-constrained sites, CAMBOX PRO enables on-site processing with real-time alerts before data leaves the location. This approach supports both centralized and distributed security monitoring strategies.
Can we customize detection logic for our specific use cases?
Yes, computer vision pipelines can be configured for your environment, including zone monitoring, vehicle tracking, and license plate recognition. Rules can combine motion detection, object detection, and behavioral patterns to match operational requirements. This ensures video analytics reflects real risks, not generic scenarios.
What about privacy and data control?
The system supports edge processing and controlled data flows to limit unnecessary video transfer. With AI video analytics, many use cases rely on event data instead of storing full footage. Access controls and audit trails ensure surveillance systems meet internal governance and compliance requirements.
Do I need existing cameras, or do you provide your own hardware?
Our solution is flexible. You can absolutely use your existing IP security cameras or CCTV systems – we integrate with what you already have. If you don’t have cameras on site or you need specialized coverage, we offer our own hardware, the CAMBOX PRO AI camera. CAMBOX PRO is purpose-built for locations without cameras or where you require stereo vision and a rugged, on-site AI device.
How quickly can this be deployed in a live environment?
Initial deployment can start by connecting to existing streams and enabling baseline event detection. More advanced video analytics, such as anomaly detection or license plate recognition, can be layered progressively. This phased approach reduces disruption while improving security monitoring step-by-step.
How do you reduce false alerts in real deployments?
Accuracy improves through context-aware event detection, not just basic motion detection. Computer vision models are tuned to specific zones, objects, and behaviors, reducing noise from irrelevant activity. Over time, feedback loops refine anomaly detection so security monitoring becomes more reliable and actionable.
