The Role of the Forklift Detection Sensors
Sensors alone can scan and respond to a particular input. That’s very narrow in its scope. It doesn’t mean it’s bad, as we indicated for the food application. It does a very narrow job in scope and does it well. But when there is something more complex such as identifying a human being or an object within a particular scope like distance, now it becomes more complex. This is where advanced technologies can have a positive impact.
When adding AI technology to sensors, sensors can be taught to ‘look’ for humans and objects. The machine learning enables it to detect in milliseconds when it ‘sees’ and identifies a person or object. Now, in SIERA.AI’s forklift safety system, we add the complexity of distance, up to 33 feet, and partial human detection to the mix. Why? Say for instance a person is on all fours behind a few boxes with only the feet showing. When the forklift safety system approaches, the AI sensor(s) scan every 60ms. It identifies the person’s feet, partial human detection, and gives the warning to the forklift driver with the symbol of a human along with a loud beeping sound. It identifies the human first and not the boxes so the driver doesn’t use the forks to move the boxes and strike the human behind them. Having the separate detection is vital to the safety to the humans.