饮料& 食品

In an industrial bakery, rolls, pancakes, donuts, and bagels are produced on an automated production line. After coming out of the oven, these baked goods must be removed from the conveyor belt and placed in boxes by a robot. At the same time, the degree of browning of each item must be assessed to ensure quality.

Um den Getränkeausschank bei Großveranstaltungen zu optimieren, wird der Prozess mithilfe einer innovativen Getränke-Einfüllmaschine automatisiert. Sensoren sorgen dafür, dass transparente Kunststoffbecher ordnungsgemäß erkannt werden, und initiieren automatisch den Befüllungsvorgang, sobald ein Becher in die Maschine eingelegt wird.

During final product control, it is to be checked that the products have a uniform appearance. The aim of the application is to guarantee the correct position of adhesive labels on packaging so that the products appear identical on the sales shelf.

During final product control it is checked that the products are correctly sealed. The aim of this application is to check that closures are fully sealed so that products cannot leak during transport. 

In modern production facilities, where traceability and quality control are essential, reading OCR and DMC codes on components plays a key role. These codes are used not only for identification, but also to ensure complete traceability of products and components throughout complex manufacturing processes. A reliable vision system must not only recognize OCR and DMC codes, but also compare them against each other.

After harvest, oranges and other citrus fruits go through several processing steps before reaching the market or end consumers. One important step is the precise control of spray nozzles for chemical treatment. This protective coating is essential for extending the shelf life of the oranges and preventing premature spoilage. To ensure the preservation agent is applied in exactly the right amount, the oranges must be counted and their surface distribution measured on the conveyor. A vision sensor is required to reliably perform both tasks.

When manufacturing ball bearings, it is vital to know that the bearing has the full number of balls. The aim of the application is to inspect a ball bearing after assembly to ensure it is complete.

When filling glass bottles or labelling bottles, it is essential to be sure that the bottle is present under the tool in the machine. 

机器人的任务是从一个灵活的送料平台上抓取工件。物体的位置可能会变化。视觉相机可以识别工件的准确位置并将其传送给机器人。

每天有数百万件物体沿着传送带移动，进入下一个加工环节。在后续工序启动前，必须先确认工件载体上存在物体。为此需要传感器可靠地执行存在性检测，确保生产线平稳运行。

在食品行业中，包装过程通常是自动化的，并由机器人完成。这些机器人从输送带上取下食品，并将其放入正确的包装中。为了实现这一目标，需要使用视觉相机来精确确定食品在输送带上的X、Y位置，并将这些数据传输给机器人。同时，系统还应核实食品的大小、直径、偏差以及烹饪程度等信息。

在整个生产过程中，会产生大量的数据，这些数据必须被监控和检查。操作员必须能够方便地咨询、管理和评估这些数据，以确定和实施对工艺的任何必要修改。

包装食品后，必须阅读在其中应用的QR码 。

在现代制造业中，对无缝工件可追溯性（跟踪和追溯）的需求不断增长。数据矩阵代码（DMC）已成为最可靠的识别和跟踪方法之一。我们的目标是扫描每个工件上的数据矩阵代码，确保精确的产品加工和完美的序列号管理。

在高性能的装瓶工厂中，每小时可以有数万个瓶子通过传送带运输。借助机器人的帮助，PET瓶会被自动放置到传送带上。根据传送带是否空闲，机器人会根据需要放置额外的PET瓶。一个光学检测系统负责监控特定区域（区域监控）内的传送带是否空闲或被占用，并向机器人发送触发信号。

在食品生产行业中，不同的产品（如预包装沙拉）通常在一条生产线上同时加工。视觉相机可确保加工和包装正确的产品类型，并实时提供检测结果。