Fluid medical products filled in glass or plastic containers are inspected before being labeled and packed. The operator of the inspection machine checks each container for cracks, holes, cosmetic defects and foreign particles as can affect the integrity of the product. Visual inspection machines are employed in the inspection process to ensure the integrity of the containers. These machines utilize the effect of light reflection to detect cracks, holes, and foreign particles, as these defects tend to reflect light brightly. A combination of multiple light sources, along with rapid pre-rotation to swirl up particles and slow inspection rotation, supports the visual inspection process. LED-based light sources lose power over time due to external influences. However, illuminance and rotational movement are critical parameters for detecting cracks, holes, or foreign particles. Consequently, these important parameters of the machine must be continuously monitored to ensure that they remain within a valid range. The validation of illuminance and rotational rate is measured monthly at fixed locations, which results in some downtime for the machine. This downtime is attributed to necessary manipulations of the machine. The aim of this master’s thesis is to develop a container test dummy which is similar to a real container, and which can measure illuminance and rotational movement without any manipulation of the machine. With this method, it is possible to check the machine’s status before a batch starts, eliminating downtime and increasing safety. After the test run, the system provides direct feedback to the operator regarding whether the machine is in a valid state or not. A microcontroller with multiple light sensors and inertial sensors is used to measure total illuminance and rotational movement and compares the measured data to valid reference data. Data is transferred using a wireless communication and is visualized in real-time to give the operator immediate feedback. Additionally, with multiple light sensors, it should be possible to detect individual light sources with reduced illuminance.