AI (Artificial Intelligence) and sensor technology have already become a part of our daily life. From smart phones with facial recognition to personalized movie suggestions on streaming media services, to autonomous navigation vacuum cleaner robots, they undertake a variety of functions. These systems are also firmly established in internal logistics - for example, reducing risk when working with forklifts.
In the 2019 survey, the German social accident insurance (dguv) recorded an average of 144 industrial forklift accidents per working day. The most common causes include the operator's limited visibility, ignorance, and even carelessness in intense work. This is where sensor technology and artificial intelligence can provide remedies.
Ingenious auxiliary system to prevent collision and rollover accidents
Linde material handling company has several systems that can make up for possible defects of operators. A good example is Linde frame protection sensor for forward forklift. When storing and retrieving goods, the operator must fully concentrate on the loaded pallet. Although the field of vision is usually limited, the distance from the shelf must be accurately maintained, otherwise there may be collision and damage to the load-bearing shelf pillars or goods. This is the function of the sensor: it accurately measures the distance. If the forklift approaches the obstacle too fast, it will brake automatically. This allows the operator's eyes to be fully focused on the load.
Compared with the damage on the shelf, the rarer but more dangerous event is the overturning of the forklift. This is the role of Linde safety pilot (LSP). The auxiliary system is based on several sensors integrated on the forklift, which measure factors such as lifting height and load weight. With the help of the display screen, the operator can always see important parameters. In case of danger, the LSP will send out visual and audible warning signals - the active version will even automatically interfere with the forklift function.
Safe interaction between human and machine
However, powerful sensors not only ensure their own safety, but also constitute the basis for the use of artificial intelligence. Because of their existence, a large amount of data can be processed and analyzed, which in turn can achieve unique insight and intelligent prediction. Still, an internal logistics expert, is also using a wide range of innovations to combat the dangers in the warehouse. Dynamic load control can also protect operators from dangerous dumping accidents. Still's Igo Neo series also improves the security of order picking to a new level. After all, the order picker operator must focus on many different things when working. This creates space for mistakes - and the risk of accidents increases. This is the function of OpX Igo Neo. The autonomous navigation order picking vehicle has a multi-level security concept, which can protect people, warehouse equipment and goods. Special sensors detect all dynamic and static objects in the warehouse. Therefore, Igo Neo positions himself on the operator, follows him, and always stops at the best picking position. Artificial intelligence intuitively adapts the travel path and speed to their respective tasks.
Therefore, all necessary safety distances can be maintained, and if an obstacle passes through its path, the vehicle will stop automatically.
It's not just these examples that show. Artificial intelligence and sensor technology are indispensable elements in modern warehouse. With the development of automation, their importance will continue to increase. This will not only improve security, but also improve the performance of internal logistics processes in the long run.
