Instamast combines mobile camera surveillance, local AI and intelligent software to make security camera systems smarter.
Instead of relying only on continuous video recording, the solution can analyse camera images locally, detect relevant events and connect those events to remote monitoring and business workflows. The technology combines the MDucat RK3588 Edge AI computer with Conneqt-All software and Instamast mobile camera masts.
From a security camera to an AI security camera
Security cameras already provide businesses with valuable visual information. The challenge is knowing what is important when a site has many cameras, large areas to cover or cameras operating around the clock.
An AI security camera solution adds intelligence to the camera system. Instead of requiring an operator to watch every camera continuously, AI can analyse camera images and identify relevant activity.
This can include motion, activity in defined areas or other events that the AI model has been configured to detect. When an event is detected, the system can trigger an alert, send an image or start a workflow.
Security camera system
Use existing camera infrastructure as the starting point and add an intelligent processing layer.
AI video analytics
Analyse camera images and identify relevant events without requiring someone to monitor every feed manually.
Local AI
Process camera images close to the camera source using an Edge AI computer instead of relying entirely on remote processing.
Remote camera monitoring
Send relevant events and images to operators, monitoring centres or other connected systems.
Local AI and Edge AI video analytics
The solution uses an MDucat RK3588 Edge AI computer. The computer provides the processing layer between the camera system and the software platform.
The MDucat RK3588 is designed for Edge AI, machine vision and local inference applications. This makes it suitable for processing camera images close to the source.
View the MDucat RK3588 Edge AI computer →
With local AI, the camera system can process relevant information at the edge. This can reduce the need to send every camera image to a central platform and allows AI processing to take place close to where the cameras are installed.
How the camera vision solution works
The architecture connects camera hardware, AI processing and business software into one workflow.
Camera
The camera captures images or video from the monitored location.
Local AI
The MDucat processes the camera images and applies the required AI model.
Detection
The AI identifies a relevant event, such as defined movement or activity.
Action
The event can trigger an alert, image, workflow or notification through the software platform.
AI motion detection and remote camera monitoring
Large sites can be difficult to monitor manually. Construction sites, industrial locations, warehouses and temporary projects may have multiple cameras spread across a large area.
With remote camera monitoring, operators can receive relevant information without having to watch every camera feed continuously.
AI-powered motion detection can help filter camera images and identify activity that requires attention. Depending on the configuration, events can be connected to notifications through the platform, email, SMS or push notifications.
This creates a more practical approach to video surveillance: the cameras keep watching, while AI helps identify what matters.
Built for construction sites and large areas
Construction sites are one example where mobile camera surveillance can be particularly useful. Sites change frequently, valuable equipment and materials may be stored temporarily and permanent security infrastructure may not yet be available.
Instamast provides complete light and camera masts that can be deployed where surveillance is required.
Learn more about Instamast camera masts →
By combining a mobile camera mast with local AI and remote monitoring, businesses can create a flexible construction site security system that does more than simply record video.
Construction sites
Monitor large or changing sites with mobile camera infrastructure and intelligent event detection.
Industrial locations
Add AI-powered surveillance to areas where continuous monitoring and rapid alerts are important.
Temporary projects
Deploy mobile camera systems where permanent security infrastructure is not practical.
Remote locations
Use remote monitoring and local AI to support surveillance in locations with limited on-site staff.
Camera-agnostic AI for existing camera systems
Businesses often already have a camera infrastructure in place. They may also use different camera brands and models across projects.
The goal is therefore not necessarily to replace the existing cameras. The MDucat can act as an AI processing layer connected to the camera infrastructure.
This allows businesses to add AI video analytics, computer vision and local AI to their camera systems.
Conneqt-All: software for connected camera operations
The Edge AI hardware is one part of the solution. The software layer is handled through Conneqt-All, a modular platform that brings camera operations, rental processes, customers, work orders and business workflows together.
For businesses operating multiple camera systems, Conneqt-All can provide a central environment for managing customers, products, camera masts, locations, work orders, maintenance, stock and invoicing.
This creates a connection between the physical camera infrastructure and the business processes behind it.
Camera rental software for growing camera fleets
For companies that rent out security cameras or mobile camera masts, managing the equipment is just as important as monitoring the camera images.
Camera rental software can help bring these processes together and give operators a clearer view of their fleet.
Camera fleet
Keep track of cameras, camera masts, products, locations and equipment status.
Rental processes
Manage quotations, orders, contracts, rentals and customer information.
Work orders
Coordinate installation, transport, maintenance and other operational tasks.
Financial workflows
Connect rental operations with invoicing and other financial software.
Explore Conneqt-All camera rental and business software →
One platform for operators and customers
A professional camera surveillance operation often involves different users. Operators need access to cameras and alerts, administrators need control over the platform and customers may need access to their own projects and camera images.
Conneqt-All supports different user roles and can provide access to relevant information through dashboards and customer-facing functionality.
Depending on the configuration, users can access information such as:
- Live camera images
- Active cameras and locations
- Recent alerts
- Camera faults
- Project information
- Invoices
- Stock and equipment information
From camera detection to business action
The real value of an AI security camera solution is not only the detection itself. It is what happens after an event has been detected.
A camera event can become part of a wider business workflow.
Detect
AI analyses the camera image and identifies a relevant event.
Filter
Local AI helps filter camera information so relevant events can be prioritised.
Connect
The event is connected to Conneqt-All or another integrated system.
Act
An operator, monitoring centre or customer can respond to the event.
Cloud, on-premise and API integrations
Different organisations have different IT and security requirements. The software architecture can support cloud and on-premise environments depending on the project.
Conneqt-All also provides APIs and integrations that allow the platform to connect with other business systems.
This makes the solution suitable for organisations that want their security camera system to become part of a larger digital workflow rather than operate as a standalone surveillance platform.
The technology behind the AI security camera solution
| Technology | Role |
|---|---|
| Security cameras | Capture images and video from the monitored location. |
| MDucat RK3588 | Provides local Edge AI processing. |
| Local AI | Processes camera information close to the source. |
| AI video analytics | Analyses camera images and identifies relevant events. |
| Computer vision | Supports visual analysis and automated detection. |
| Conneqt-All | Connects camera operations with software, workflows and rental management. |
| Remote monitoring | Provides access to camera events and images from a central platform. |
| APIs and integrations | Connect the solution with other business and financial systems. |
Why use local AI for camera surveillance?
Local AI can be useful when camera systems need to process information close to the source. Instead of treating the camera as only a recording device, an Edge AI computer can add processing power and intelligence to the system.
For large camera deployments, this can provide a practical architecture for handling AI video analytics, motion detection and event-based camera monitoring.
The exact architecture depends on the cameras, AI models, network environment and requirements of each project.
A flexible architecture for camera surveillance
The combination of mobile camera hardware, Edge AI and business software creates a flexible architecture for organisations that operate or manage multiple camera systems.
It can support companies looking for:
- AI security camera technology
- AI video analytics
- Local AI processing
- Computer vision
- Remote camera monitoring
- Mobile CCTV
- Construction site security
- Camera rental software
- Security camera system management
- Connected camera operations
The important point is that the AI layer does not have to replace the entire camera infrastructure. It can be used to make existing systems smarter and connect camera events with the software and workflows around them.
Want to add AI to your camera system?
Whether you are building a new mobile surveillance solution, managing a camera rental fleet or looking to add AI to an existing security camera system, the right architecture starts with the camera, computing and software working together.
View MDucat RK3588 → Discover Instamast → Explore Conneqt-All →Frequently asked questions
What is an AI security camera?
An AI security camera system uses artificial intelligence to analyse camera images and identify relevant events. AI can help detect movement, objects or other defined activity and trigger an alert or workflow.
What is local AI in camera surveillance?
Local AI means that AI processing takes place close to the camera or within the local camera infrastructure. In this solution, the MDucat RK3588 provides the Edge AI processing layer for camera vision and AI video analytics.
Can AI be added to an existing security camera system?
Yes. The approach is designed to add an AI processing layer to camera infrastructure rather than requiring every camera to be replaced. Compatibility depends on the camera system, interfaces and required AI application.
What is camera rental software?
Camera rental software helps companies manage camera rental operations, including customers, equipment, contracts, locations, work orders, maintenance, stock and invoicing. Conneqt-All can connect these business processes with camera operations.
What is the MDucat RK3588?
The MDucat RK3588 is an Edge AI computer used in this solution for local camera image processing and AI applications.
Where can this AI camera solution be used?
Potential applications include construction sites, industrial locations, warehouses, temporary projects, remote locations and camera rental fleets. The exact application depends on the camera system and AI detection requirements.
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