Automated Video Intelligence
Gravity Video AI brings smart video analytics to your fixed camera infrastructure, spotting safety hazards, security breaches and operational events as they happen. Installed behind your firewall or in a private cloud you control, it keeps data in-house while delivering timely alerts and clear reports.
How It Works
From feed ingestion to automated alerts, here's how Gravity Video AI transforms your existing camera infrastructure into an intelligent monitoring system.
Feed Ingestion
Connect existing IP cameras or video streams to the on-premises analytics engine. No need for new hardware—use what's already in place.
AI-Powered Analysis
Specialized models examine each frame in real time to recognise predefined events: safety incidents, unauthorised entries, vehicle movements, and more.
Configurable Alerts & Workflows
Set thresholds (e.g. how long someone remains in a restricted zone) and define alert channels (dashboard pop-up, email or SMS).
Event Logging & Reporting
Every detected event is logged with timestamped snapshots or clips. Historical data is stored for trend analysis, audit trails and continuous improvement.
Integration & Action
Use APIs or connectors to feed alerts into your incident-management systems, chat channels or access-control platforms, so responses happen automatically or with minimal delay.
Key Features
Comprehensive video analytics capabilities designed for enterprise security and operational intelligence.
On-Premises Deployment
Hosted on servers you manage, ensuring full data sovereignty and compliance with internal security policies.
Real-Time Detection
Low-latency analysis flags events as they occur, reducing the window between incident and response.
Construction-Trained Models
Algorithms tuned for site contexts: heavy machinery movement, PPE compliance, falls, fire/smoke and licence plates (LNPR).
Privacy-Conscious Face Recognition
Matches authorised personnel against a local roster without sending data externally; useful for access control and attendance.

Use Cases
From worker safety to security monitoring, discover how Gravity Video AI addresses critical operational needs across various scenarios.
Worker Safety Monitoring
Detects unsafe behaviours—such as workers entering exclusion zones or missing PPE—and triggers instant alerts, helping prevent accidents before they escalate.
Heavy Object Monitoring
Tracks movement of cranes, excavators and other machinery; flags unusual paths or stoppages, reducing risk of collisions and equipment damage.
Face Recognition
Verifies authorised personnel at restricted areas, aiding secure access control and simplifying attendance tracking without breaching privacy policies.
Perimeter Surveillance
Watches site boundaries for after-hours intrusions or unauthorised access, sending alerts immediately so security teams can investigate.
Progress Monitoring
Analyses visual changes over time (e.g. via periodic snapshots) to assess project milestones, spot delays or verify completed work against schedules.
Personnel Counting
Tallies people in defined zones to ensure occupancy limits, coordinate shift changes and support emergency evacuation procedures.
Intrusion Detection
Identifies unauthorised presence in sensitive areas—alerting security teams the moment someone breaches a zone.
PPE Compliance Verification
Reviews video feeds to confirm workers wear required gear (helmets, hi-vis vests, etc.), reducing safety violations and insurance exposures.
Vehicle Movement Monitoring
Monitors entry/exit and routes of site vehicles, helping avoid traffic conflicts and ensuring authorised vehicle access.
License Number Plate Recognition
Automatically captures and logs licence plates at entry points for access control, visitor tracking and security audits.
Fall Detection
Recognises falls from heights or into hazardous zones, triggering immediate alerts so first responders can act without delay.
Fire and Smoke Detection
Spots visual cues of fire or smoke early, providing rapid notification to protect lives and assets.
How We Work Together
We follow a collaborative, step-by-step process to ensure successful implementation and long-term value from your Gravity Video AI solution.
Discovery & Planning
Review existing camera setup, network capacity and security policies. Identify priority zones and typical workflows for alerts.
Secure Setup
Deploy the analytics engine on your servers or private cloud. Configure network access so cameras can feed streams without exposing endpoints externally.
Pilot Phase
Connect a subset of cameras in high-priority areas. Define initial rules (e.g. minimum linger time in exclusion zones) and run tests with your team to fine-tune models.
Full Rollout
Add remaining camera feeds, customise alerts for different zones or project phases, and train staff on responding to notifications and using the analytics dashboard.
Ongoing Support & Optimisation
Monitor detection accuracy and false-positive rates, adjust thresholds or retrain models as site conditions change. Update software and security patches under agreed SLAs.
Benefits for Organizations
Transform your video surveillance from passive recording to active intelligence with measurable business benefits.
Frequently Asked Questions
Get answers to common questions about Gravity Video AI
What types of cameras are compatible with Gravity Video AI?
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Gravity Video AI is compatible with most IP cameras and CCTV systems, including ONVIF-compliant devices. It supports various video formats and resolutions, from standard definition to 4K. Our system can integrate with existing camera infrastructure, including fixed cameras, PTZ cameras, and thermal imaging devices. During implementation, we assess your current setup and ensure optimal compatibility.
How accurate is the AI detection system?
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Our AI models achieve over 95% accuracy in detecting safety violations, security breaches, and operational events. The system is trained on construction and industrial environments, reducing false positives significantly. Accuracy continues to improve through continuous learning and can be fine-tuned for your specific environment and use cases during the pilot phase.
Is the system deployed on-premises or in the cloud?
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Gravity Video AI is deployed entirely on-premises, ensuring complete data sovereignty and privacy. Your video data never leaves your premises, addressing security and compliance concerns. The system runs on your infrastructure, providing low-latency processing and eliminating dependency on internet connectivity for core functionality.
What kind of alerts and notifications does the system provide?
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The system provides real-time alerts via multiple channels including email, SMS, mobile app notifications, and integration with existing security systems. Alert severity levels can be customized, and you can configure different notification rules for different types of events. The system also provides detailed incident reports with video evidence and timestamps.
How long does implementation typically take?
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Implementation typically takes 2-4 weeks depending on the number of cameras and complexity of your requirements. This includes system setup, AI model configuration, integration with existing systems, and staff training. We follow a phased approach starting with a pilot deployment to ensure optimal performance before full rollout.
What ongoing support and maintenance is provided?
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We provide comprehensive ongoing support including 24/7 technical assistance, regular system updates, performance monitoring, and AI model improvements. Our support packages include proactive maintenance, troubleshooting, and optimization services. We also offer training updates as new features are released and can provide on-site support when needed.
Ready to transform your video surveillance?
Discover how Gravity Video AI can enhance your security and operational intelligence. Get started with a pilot deployment today and see the difference intelligent monitoring makes.