Security systems are now expected to do more than simply record. The updated Concept Pro AI Bridge range responds to this shift by bringing artificial intelligence, on-device video recording and cloud connectivity together into one single platform. The latest update includes the introduction of a new 4 Channel AI Bridge and expanded analytic capabilities across all application tiers, supporting environments from residential properties, complex commercial and industrial sites.
Why AI Bridge Goes Beyond Traditional CCTV Recording
Traditional CCTV and NVR systems are passive. They record events and rely on manual review to identify what happened. The AI Bridge actively analyses scenes that occur and surfaces relevant events in real time. This reduces the time needed to respond, improves situational awareness and supports prevention rather than reaction. Operators do not need to search through hours of footage to understand what occurred; the system presents meaningful alerts/information as it happens.
New 4 Channel AI BridgeThe addition of the 4 Channel AI Bridge makes high-accuracy video analytics practical for smaller installations. It supports up to four channels of simultaneous AI analysis and can be supplied with up to 2TB of SSD storage. This allows video to be analysed and recorded in one unit without the need for additional infrastructure. It is suited to homes, driveways, small shop fronts, compact offices and similar environments where fast and reliable alerting is more valuable than simply storing footage to review later. |
 |
AI Application Packages Built For Real Requirements
The Standard Package provides core AI analysis needed for everyday monitoring. This includes event-based detection such as intrusion alerts, loitering detection, people and vehicle counting and occupancy-based awareness. These applications form the foundation of proactive video surveillance, helping operators notice what matters in real time rather than reviewing footage after the fact.
Enterprise Packages build on the Standard Package by introducing more advanced behavioural and object-based analytical algorithms. This allows the system to detect more complex scenarios such as aggressive interaction, suspicious movement patterns or nuanced situational changes that traditional rule-based alerts may miss.
In addition, there are Optional Extra Licences available across the range, which allow individual high-value analytics to be enabled on a per-channel basis. These algorithms are used for scenarios where precise awareness is critical, such as forklift hazard detection, thermal intrusion alerts, road pedestrian detection or advanced PPE monitoring. This flexible structure ensures users only pay for specialised algorithm analytics where they are genuinely needed.
Finally, Hybrid AI Boost introduces a combined on-device and cloud-assisted processing approach for the most complex environments. This enables higher accuracy in challenges such as detecting covered faces at close range, identifying aggressive behaviour, confirming fallen persons, or recognising early signs of smoke and fire. Hybrid AI Boost uses remote processing support under a subscription model to provide greater contextual understanding, where on-device analytics alone may be limited.
View Concept Pro's YouTube for Demos.
Applications Across Sectors
The AI Bridge is designed to deliver proactive surveillance and operational insight across multiple environments:
- Retail: Smarter, safer stores with queue monitoring, shrinkage reduction and real-time footfall analytics.
- Education: Safer campuses with intrusion detection, occupancy monitoring and fall detection for students and staff.
- Health Care: Patient and staff safety through PPE compliance, fall alerts, and restricted area monitoring.
- Logistics & Warehousing: Vehicle tracking, forklift hazard detection, occupancy monitoring and worker safety.
- Banking: Behavioural detection, loitering alerts, and privacy-compliant monitoring for branches and ATMs.
- Construction: PPE enforcement, perimeter protection, vehicle and pedestrian safety and site hazard alerts.
- Industrial: Equipment and hazardous zone monitoring with thermal and explosion-proof cameras.
- Remote Monitoring: Centralised alerts, anomaly detection and 24/7 monitoring across multiple sites.
- Waste Management: Illegal dumping prevention, fire detection, PPE compliance and safer yard operations.
Here Are A Few Use Cases...
Example Installation Scenarios
|
In a residential property, the AI Bridge can monitor a driveway perimeter, identify if someone is lingering near entry points or stepping into a restricted space and will notify the homeowner before the situation escalates. This shifts security from after-the-fact evidence to real-time awareness. |
 |
|
In a retail environment, Standard algorithms can monitor entry and exit flows, crowd density and occupancy levels, alerting employees to when more staff is needed on the shop floor, plus sales and marketing opportunities. Whereas the Enterprise algorithms can help differentiate between normal customer behaviour from actions that may require attention. Combined with the Standard and Enterprise algorithms, they improve site safety and operational efficiency. |
 |
|
In warehousing, logistics or manufacturing environments, Optional Extra Licenses and Hybrid AI Boost can recognise when forklifts operate in only person zones, detect when workers are not wearing PPE or identify hazardous movements such as climbing on racking before an accident occurs. This has direct value in reducing risks and maintaining safe operations. |
 |
Conculsion
The updated Concept Pro AI Bridge range delivers an intelligent, flexible and scalable approach to video surveillance. With the addition of the 4 Channel model to the existing line-up of the Professional and Enterprise Bridges, expanded application packages and advanced algorithms, the platforms support environments ranging from residential settings to more complex commercial and safety-critical operations. It transforms CCTV into a proactive tool for awareness, response, sales and marketing insights and operational awareness rather than a system used only after an incident has taken place.