Things to Consider When Evaluating a Forklift Mounted Camera
Not all forklift camera systems are created equal. The effectiveness of a solution depends heavily on how it is designed and deployed.
Here are the key factors to evaluate:
Field of View (FOV)
The field of view (FOV) determines what the camera can actually capture.
- Cameras mounted on top of the MHE can provide a 360° view, ideal for safety and situational awareness
- Forward-facing cameras mimic the operator’s perspective, which is better for scanning labels and detecting damage
FOV also impacts:
- How high (e.g., double-stacked pallets) the camera can see
- How wide an area it can capture
- Whether labels are consistently in frame
If your operation includes double stacking or variable label placement, FOV becomes critical.
Mounting Location
Where the camera is mounted directly affects durability and performance.
Exterior mounting (front of mast):
- Better visibility of labels and pallets
- Higher risk of physical damage
- Increased maintenance costs
Protected mounting (top of cab or behind mast):
- Safer from impacts
- Potential occlusion of key data
The right balance depends on your use case—but durability should not be overlooked.
Operator Interface (Screens)
Some systems include screens that provide real-time feedback to operators.
This can be useful for:
- Alerting operators to mis-shipments
- Highlighting detected issues
- Guiding corrective actions
However, it’s important to ensure that screens enhance—not distract from—operator workflows.
Power and Battery Management
Battery management is often an overlooked operational burden.
Questions to consider:
- Does the system require separate batteries?
- How often do they need to be replaced or charged?
- Does this introduce additional steps for operators or maintenance teams?
Even long-lasting batteries eventually need replacement—and that process adds friction.
Vibration Handling
Forklifts operate in harsh environments with constant vibration—especially when moving in and out of trailers.
If a camera system isn’t built specifically for MHE:
- Image quality can degrade
- Hardware can fail prematurely
- Data accuracy can suffer
Look for systems designed with vibration dampening and industrial-grade durability.
Operator Intervention
The best systems require zero manual intervention.
If operators need to:
- Trigger scans
- Adjust positioning
- Re-scan missed data
…then human error is reintroduced into the process.
True automation happens when data is captured passively, without changing operator behavior.
Label and Inventory Data Capture
This is one of the most important—and most overlooked—areas.
Ask:
What is the smallest data the camera can read?
- Can it capture small fonts or dense labels?
- Does performance degrade at speed?
Does it require specific label formats or placement?
- Requiring standardized labels can be unrealistic
- Supplier coordination is often difficult
- Operators may not place labels consistently
A robust system should work with real-world variability, not ideal conditions.
Can it read data off corrugate?
Not all data is on a clean label.
Many operations rely on:
- Low-contrast black text
- Printed directly on brown corrugate
The system must be able to extract this data reliably.
Can it read through plastic wrap?
Plastic wrap is unavoidable in warehouse operations.
A capable system should:
- Read through multiple layers of wrap
- Handle glare and distortion
- Maintain accuracy in real-world conditions
Impact on Operator Speed
Finally, consider whether the system affects throughput.
If operators need to:
- Slow down
- Pause for scans
- Adjust workflows
…the cost adds up quickly.
Even small delays compound across hundreds or thousands of pallet movements per day.
The best systems operate at full speed, without requiring behavioral changes.