Our AI surveillance solutions are reducing the need for manual CCTV monitoring, but improving control over safety, results, and productivity.
Computer Vision
Overview
Our AI video analytics solution works with your existing camera systems (CCTV or IP cameras), or with our CamBox units if no cameras are installed. It turns live video surveillance feeds into clear, actionable insights for workplace safety and operational efficiency.
In Practice
Computer Vision in Action
cctv-analytics
Turn CCTV surveillance feeds into structured, searchable events with automated object detection, tracking, and real-time anomaly alerts instead of manual monitoring.
multisensors
Combine video analytics with thermal imaging, access control logs, and other IoT sensor inputs to spot safety risks earlier and understand the full context of any incident.
VMS-Integration
Add AI video analytics to your existing Video Management System (VMS) to enrich security alerts, video search, and reporting capabilities without a costly rip-and-replace of your current infrastructure.
modules
Pick only the computer vision modules you need (e.g., PPE detection, Restricted zone monitoring, intrusion detection) and plug them seamlessly into your current camera network and VMS stack without disruption.
Quality Monitoring
Achieve continuous, real-time oversight of employee safety and performance.
Monitor how employees perform critical tasks in real time. The AI automatically detects any incorrect actions, unsafe behaviors, missing PPE, or deviations from standard operating procedures (SOPs) as soon as they happen.
Computer Vision Expertise
We have deep expertise in key AI-driven video analytics capabilities for workplace surveillance and safety monitoring, including
PPE detection
Automatically verify that workers are wearing required protective gear (helmets, vests, etc.) to prevent injuries and improve compliance.
Anomaly detection
Recognize unusual events or behaviors in real time to flag potential safety or security risks before they escalate.
ROI Monitoring
Detect entry into unauthorized or hazardous areas using virtual boundaries or defined Regions of Interest.
Motion detection
Track the movement and direction of people and vehicles across a scene to detect intrusions or unsafe movements in restricted areas.
Distance Measurement
Measure distances between objects or individuals to maintain safe separation and prevent collisions (e.g., between heavy machinery and personnel).
Facial Recognition
Identify authorized personnel by face to manage secure access control and even automate attendance tracking on site.
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
Cambox 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
Featured Case
Froth Flotation
The Challenge
Traditional image-based monitoring of flotation froth could not reliably produce real-time, quantitative process metrics due to lighting, camera angle and reflection issues that break heuristic detectors.
Our Solution
DeepX built a computer vision Soft Sensor using deep neural networks to segment and track bubbles from video, turning raw video into stable analytics like Bubble Size Distribution and surface motion in real time.
Result
This transforms subjective visual cues into objective, machine-readable data streams suitable for analytics and future automated control of flotation processes.
Applied in mining environments, this solution analyzes nickel flotation bubbles in real time, turning video into objective metrics like bubble size and behavior to help operators maintain stable, measurable process control.
Industries We Transform
Aviation
Automate PPE checks, site safety audits, and equipment tracking with real-time computer vision.
Oil & Gas
Detect leaks, hazards, and intrusions early through intelligent video and anomaly detection.
Construction
Automate PPE checks, site safety audits, and equipment tracking with real-time computer vision.
Mining
Improve safety and efficiency with AI monitoring for equipment, workers, and environmental risks.
Healthcare
Securely process documents, control access, and detect incidents in hospitals
Legal & Insurance
Automate claim reviews and document validation with AI-powered data extraction.
Future-proof your surveillance
Our real-time computer vision analyzes live CCTV and surveillance video as events happen.
Instead of watching screens, your teams receive instant, prioritized alerts when safety risks, intrusions, or abnormal behavior are detected.
Frequently Asked Questions
Can I use AI for retail or operations?
Yes. Computer vision can absolutely be applied beyond industrial worksites. For example, in retail environments, AI video analytics can perform people counting, do object recognition for inventory or shopper behavior, and even use pose estimation to optimize staffing and store layouts. We also support computer vision use cases in logistics and even in autonomous vehicles for operational safety and efficiency.
Do you support development services and custom models?
Yes. We offer custom computer vision development services and can build models tailored to your needs. Our expertise covers a wide range of algorithms and model types, including object detection, depth estimation, stereo vision, and more (often leveraging frameworks like OpenCV), and we will tailor the AI stack to fit your specific environment and SLA requirements.
What if I need custom AI Agents?
We can deploy specialized AI agents to automate decisions and support your operations. For instance, we can set up intelligent agents for incident triage and to route alerts to the right personnel. We also leverage advanced Vision-Language Models (VLMs) for analyzing visual data alongside other inputs (multimodal reasoning). In short, we integrate object detection and anomaly detection algorithms directly into your SOPs, so the AI can automatically follow your established workflows.
How do you ensure model quality over time?
We continuously monitor and maintain the AI models to ensure they stay accurate. Our team watches for model drift (when accuracy drops as real-world data changes) and regularly refreshes the training datasets with new examples. We rigorously validate results and retrain models when necessary. As an experienced computer vision development company, we follow strict best-practice processes to keep accuracy high even as conditions (scenes, lighting, seasons) change.
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 is purpose-built for locations without cameras or where you require stereo vision and a rugged, on-site AI device.
Are your CV solutions cloud-agnostic?
Yes. Our video analytics stack is cloud-agnostic and can run on AWS, Azure, GCP, private cloud, or hybrid setups. You’re not locked into a single vendor.
Can the system run fully on-premises?
Yes. We fully support on-premises deployments on your own servers. The entire AI pipeline (inference, storage, and analytics) can run locally behind your firewall. We integrate with your internal VMS, IT, and security systems on-site, so you maintain complete control over the data. This is ideal for companies with strict data privacy or regulatory requirements.
