Intelligent Video Monitoring
Operators can’t watch every feed, motion alerts get ignored, and a traditional VMS is built for playback rather than response. AI modules help surface what matters, turning footage into structured events that teams can quickly review and act on.
Ready-to-Deploy Solutions
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.
Distance Measurement
Detect when people come too close to moving machinery or vehicles, measure distances in real time, and trigger alerts to keep personnel clear of hazards.
Quality Monitoring
Detect anomalies from standard procedures, flag incorrect or skipped steps in real-time, and generate records for quality review and audit.
Facial Recognition
Detect and match faces against known personnel, confirm authorized identities, and automate attendance with searchable, time-stamped records.
Why DeepX Modules
Fully modular
Pick only the modules you need
Any infrastructure
Runs on existing CCTV and VMS
Real-time alerts
Live events, not footage to review
Deploy anywhere
Cloud, on-prem, hybrid or edge
Built-in governance
RBAC, audit trails and encryption
Agent-ready
Compose modules into automation
Integration & deployment
The modules connect to your existing CCTV, IP cameras, and NVRs and run on top of your current setup, no need to replace cameras, recorders, or your VMS. Start with a controlled pilot on a few streams, validate against your KPIs, then roll out.
Connects via
REST API, RTSP, ONVIF, Webhooks
Runs on
Cloud, On-premises, Hybrid, Edge (CAMBOX PRO)
How It Works
Pick modules
Choose what you need
Connect cameras
Use any camera setup
Run live
Streams process in real-time
Take action
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.
Start with a single module and expand when you need to
Run computer vision on the cameras and VMS you already have, whether that means object detection, anomaly detection, license plate recognition, or PPE compliance. Pick what fits your operation, validate it on a pilot, and scale from there.
Frequently Asked Questions
What are computer vision modules?
Computer vision modules are ready-to-use AI video analytics pipelines that run on your camera feeds. Each module handles a specific task, such as object detection, object tracking, people counting, anomaly detection, license plate recognition, facial recognition, pose estimation, or OCR, and turns raw video into structured, searchable events. You select only the modules you need and combine them into a single solution, rather than purchasing a single, monolithic platform.
Do I need to replace my cameras or VMS?
No. The modules work with any cameras and any video management system (VMS), connecting through standard protocols such as RTSP, ONVIF, REST APIs, and webhooks. They add an AI video analytics layer on top of your existing CCTV and NVRs, so there is no rip-and-replace. Where you have no camera coverage at all, CAMBOX PRO provides a portable edge AI camera you can deploy on the spot.
Can the modules run on-premises?
Yes. The full pipeline processing, storage, and analytics can run on-premises behind your firewall, in the cloud, in a hybrid setup, or at the edge. On-premises and edge deployment keep video and data inside your own network, which matters for privacy, data residency, and regulated environments. You choose where each module runs.
Do the modules work in real-time?
Yes. The modules perform real-time object detection and real-time video analytics on live streams, so events and alerts are generated as things happen, not hours later during playback. Real-time processing is what lets the system flag an intrusion, a missing helmet, or an unauthorised vehicle the moment it occurs, rather than after an incident.
Which modules does DeepX offer?
The library covers detection and recognition (object detection, image recognition, motion detection), tracking and counting (object tracking, people counting, crowd analytics), anomaly and intrusion (anomaly detection, perimeter intrusion detection, restricted zones), safety and compliance (PPE compliance, SOP monitoring), license plate recognition (LPR/ANPR and vehicle analytics), facial and biometric (facial recognition with human-in-the-loop review), depth and pose (pose estimation, distance measurement, depth and stereo vision), and 3D reconstruction. You can also request custom computer vision models for needs beyond the standard set.
How accurate is it, and how are false positives handled?
Accuracy depends on camera placement, lighting, and the specific use case, so the modules use configurable confidence thresholds, zone and object tuning, and human-in-the-loop review for sensitive tasks such as facial recognition. During a pilot, the models are validated against your own KPIs and refined, which steadily reduces false positives before full rollout.
Is facial recognition compliant with privacy regulations?
Facial recognition is governed by design. Matching runs against an approved watchlist rather than untargeted scraping, with consent logging, configurable masking, and human review before any action. Combined with role-based access control, audit trails, and on-premises options, this supports compliance with GDPR and the EU AI Act. Final compliance always depends on your specific deployment and jurisdiction.
Can I get custom modules or integrations?
Yes. Beyond the standard library, DeepX provides custom computer vision development training, bespoke models, and builds tailored pipelines for object detection, anomaly detection, depth estimation, OCR, and more. Module outputs (events, counts, plate reads, structured data) are delivered through APIs and webhooks, so they integrate cleanly with your VMS, SIEM, dashboards, and existing workflows.