Use Forklift Safety System Metrics in SIF Prevention

The Campbell Institute released a white paper which includes the SIF model (serious injury and fatality) which provides the planning and steps needed in the organization that works to prevent serious injury and fatalities. At the NSC show this past September, the organization took the SIF model and instead of it being linear in nature, they crafted another model for its members in order to show the graphic to be continuous. Same concept with a bit more content to it. As both models show that you need to identify what metrics you want to follow, then we need to use forklift safety system metrics in SIF prevention.

Use Forklift Safety System Metrics in SIF Prevention

If you take a look at the picture at the top of the article, you’ll see the Campbell Institute’s SIF model. In the third bullet, it says, “Identify sources of data for SIF metrics”. As there are numerous areas that this may need to be developed, one area where it does not is to use forklift safety system metrics in SIF prevention. The SIERA.AI forklift safety system already has this done for you, and it is exactly what you want. Why? Because it was driven by our customers which are the users of the telemetry Dashboard.

What are Some of the Metrics?

The metrics used in the telemetry Dashboard is collected in real-time as each forklift moves about the facility or outdoors. That’s because the AI-based forklift safety system is mounted to each forklift. As each forklift moves about the facility, it acts as its own little entity collecting data on that specific forklift. All of that data is stored in the cloud Dashboard.

Here’s what you will find:

Pass / Fail Forklift Inspections: The collection of pass and failed forklift inspections is valuable for maintenance. If there is a fail, automatic notifications are sent to those that need this information. This data is collected and stored where further analysis can be made on the upkeep and health of each asset.

Near Miss Detection: Anytime there is a slam on the brakes or a hard turn, these type of actions, and many others, are tracked and placed in the telemetry Dashboard. These near miss detections mean these are areas within the facility that are accumulating risk of having an accident. Isn’t this what the SIF is about? We track if the near miss is with a human or was the near miss with an object. Now you are able to go to that area and determine what the risk is and remove it from maturing. This will help prevent the accident from occurring.

Impact Detection: If your forklift hits something, you want to know how hard was the impact. That’s your G-Force. You determine what is a critical impact and get notified if one of those happens. We’ll track if the impact is determined to be low, medium and high. Again, you can go to those areas, find out what’s going on, and make appropriate changes.

Pedestrian and Object Detection: Although these are said together, the tracking is separate. This means that if a person or objects comes within the defined ‘safe’ space from the forklift, not only does the forklift safety system alert the operator, it also will track it on the telemetry Dashboard. Now you know what plans you need to make (if any) to keep people and objects away from the assets.

Now you know that you can Use Forklift Safety System Metrics in SIF Prevention. 

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