Identify reversing, side, front, load-area and manoeuvring risks for each vehicle type rather than applying one generic layout.
How do we reduce blind spots and understand what happened around the vehicle?
A camera system should be designed around the risk, not around the maximum number of cameras a recorder can accept. The right views, detection zones, driver alerts and evidence workflow depend on the vehicle, manoeuvres, operating environment and people exposed to the risk.
Three decisions before choosing technology.
Start with the operating requirement. The technology is only useful if it answers the question your team needs to act on.
Some risks need driver visibility, some need audible alerts, some need AI detection and others mainly require incident evidence.
Combining video with time, vehicle, location and event information makes investigation more useful than isolated footage.
Turn the challenge into a deployable workflow.
A strong solution design makes the operational question, technology, exception and owner explicit.
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Read the customer story →Questions worth answering early.
Clear answers help you scope the requirement before a technical or commercial discussion.
Do all vehicles need the same camera layout?
No. Vehicle geometry, manoeuvres and operating environment change the blind spots and evidence requirements, so layouts should be risk-led.
What can AI detection add?
AI can support defined detection use cases such as people or objects in selected zones, depending on the camera system and configuration. It should be deployed against a clear operational risk.
Can video be linked with telematics?
Yes. Connected video telematics can associate footage with vehicle, location, time and selected event data to make incident review more useful.
Bring us the operational problem.
Use the solution finder or describe the challenge. We will route it to the right Foresolutions specialist and design around the real environment.
