Edition 92 - Predictive Maintenance: When Your Camera “Calls in Sick”
Predictive Maintenance: When Your Camera “Calls in Sick”
The most dangerous camera isn’t the broken one you know about. It’s the one that seems to work.
Many security investigations start with the same moment of frustration. An incident occurs, and security teams turn to the video system in search of answers. Then someone discovers the camera covering the area stopped recording days or even weeks earlier.
At that point, the investigation is already compromised.
For facilities managers and security directors, this is more common than many would like to admit. Electronic security systems can fail quietly. A camera freezes, a hard drive reaches the end of its life or a network switch overheats. However, nothing alerts the team until the moment the footage is needed. By then, it is too late.
That is why more organisations are turning to predictive maintenance. In simple terms, the system tells you it’s about to fail before it actually does.
The Limits of Break-Fix Security
Most electronic security systems still operate on a break-fix model.
This approach worked when systems were small. A building might have ten cameras and a single recorder. Faults were easy to spot. Today, the situation is very different. Large sites may run hundreds or even thousands of devices across multiple locations. Cameras, door controllers, intercoms, network switches and storage servers all operate together.
Each device is another potential point of failure.
Facilities teams cannot manually check every device every day. Security control rooms rarely have the time to monitor detailed system health. As a result, faults often go unnoticed. The system appears to be operational. However, in reality, it may already contain blind spots.
When Hardware Starts Talking
Modern electronic security equipment is increasingly built on connected device technology, which refers to devices that can communicate over a network. Cameras and controllers are no longer simple hardware units. They contain processors (the device's brain), sensors (components that gather information, such as temperature or light), and monitoring software (programs that check device health).
This allows the equipment to report on its own condition.
A modern network camera, for example, can track its own: • Internal temperature (heat generated inside the device) • Power supply fluctuations (changes in the electrical power supply) • Network connectivity (ability to connect to other devices over a network) • Storage performance (how efficiently data is saved and retrieved) • Processing load (the amount of work the device's processor is handling)
Door controllers and network recorders provide similar data.
When analysed properly, this information reveals patterns that suggest equipment stress or decline. For example, a camera that normally runs at 40 degrees may start operating at 55 degrees. That could indicate airflow problems or internal component failure.
A hard drive may begin showing rising read and write errors that suggests storage wear.
A power supply may begin drawing irregular current, which often appears shortly before failure.
None of these conditions means the device has stopped working. But they do signal that a problem is developing. And this is where predictive maintenance becomes valuable.
From Fault Alerts to Failure Prediction
Traditional monitoring systems generate alarms after something has already gone wrong.
Predictive maintenance goes further. This is a maintenance approach that uses data to forecast equipment failure and schedule repairs before problems occur.
Software platforms analyse performance data across devices and look for unusual patterns. When a device deviates from its normal operating profile, the system issues a warning. This enables teams to act before devices actually fail.
Instead of finding a dead camera after an incident, the system reports that the device is showing signs of instability. A technician can inspect or replace it during routine maintenance.
The difference may sound small, but operationally it is significant. The security systems remain fully available, investigations retain complete evidence and operational disruption is reduced.
Why This Matters to Facilities and Security Leaders
For business leaders and risk managers, the issue is not simply technical. It’s about operational resilience.
Security systems are installed to support three key outcomes.
1. Protect people.
2. Protect assets.
3. Support investigations.
If a system fails during a critical moment, all three outcomes are weakened.
Predictive maintenance supports resilience by ensuring systems remain available when they are needed most. For facilities teams, it also brings a practical advantage. Maintenance becomes planned rather than reactive. Engineers can replace failing components during scheduled visits rather than emergency call-outs. While equipment life cycles can be managed more effectively.
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This reduces disruption and improves budgeting accuracy.
The Financial Case
Security directors regularly face pressure to justify investment in system upgrades or monitoring tools. Predictive maintenance provides an evident operational return.
Planned maintenance is far more efficient. Replacing a failing hard drive during a scheduled visit is far cheaper than responding to a storage failure that takes a recording system offline.
There is also the hidden cost of failed investigations. If critical video evidence is missing because a camera stopped recording, the consequences may go beyond the security department. Insurance claims, legal disputes and brand damage can follow.
Continuing system availability protects the whole organisation.
Designing Predictive Maintenance into New Builds
For professionals involved in new building projects, this technology should now be part of the design conversation.
Security systems are no longer isolated hardware installations. They are connected platforms that require health monitoring.
During project planning, organisations should consider:
• Centralised device monitoring software • Integration with facilities management platforms • Network durability and environmental monitoring • Clear maintenance and replacement strategies
Designing monitoring capability from the start is far easier than adding it later. The security system should not only detect external threats. It should also monitor its own health.
Practical Steps for Security and Facilities Teams
If your organisation still relies on reactive maintenance, there are several useful steps you can take.
First, review whether your existing cameras and controllers (hardware that captures video and manages device operation) already provide device health data (information about equipment status, performance, or faults). Many modern systems include this capability, but it remains unused.
Second, make sure your video management or access control platform supports device monitoring and alerting.
Third, implement clear operational procedures. When a device reports unusual behaviour, the response must be defined and recorded.
Fourth, work with IT teams. Predictive monitoring frequently depends on network infrastructure and data analysis tools already managed by IT departments.
Finally, treat system health as part of routine operational reporting. Security systems should be measured not only by performance during incidents but also by availability across time.
Key Takeaway
Security professionals spend considerable time planning for external threats. But sometimes the greatest vulnerability is much closer to home.
A silent hardware failure. A recorder running out of storage. A camera that stopped working days ago. Predictive maintenance helps prevent such quiet failures from becoming major problems.
In practical terms, your security equipment should function like a reliable team member.
When it starts to struggle, it should let you know. Ideally, it communicates potential failure before it happens.
If you found this edition of Security Thoughts on Thursday useful, share it with a colleague in security, risk or facilities management.
And if your organisation is exploring emerging technologies in physical security, I would be interested to hear about your testing
Note: The Security Thoughts on Thursday articles are intended to stimulate free thinking and should not be considered consultancy or definitive advice. Please share your experiences and insights in the comments below.
"Assistance in generating ideas and drafting was provided by Gemini 3 (Google AI). Content assistance provided by Gemini 3 & OpenAI's ChatGPT"
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