AndonCloud

FAQ

Frequently asked questions

• Does the system recognize both good and defective pieces?

  Yes - each piece can be classified based on the image as good or defective. This supports inspection automation.

• Are additional sensors needed for counting?

  No - all you need is a camera. The system is based on image analysis, without the need for physical sensors.

• Can the operator see the number of pieces in real time?

  Yes - the numbers are immediately visible in the system, making it easier to properly analyze performance.

• Does the data include defective pieces?

  Yes - the system can distinguish substandard products and includes them in quality reports.

• Can count data be used for OEE analysis?

  Yes - the data can be the basis for the calculation of the quality index (Quality) in OEE.

• How does the system identify cycle disorders?

  On a clock basis - if there is no new product for a certain period of time, the system reports an anomaly.

• Can you set the response time yourself?

  Yes - detection parameters can be configured individually for each line.

• Who receives the outage notification?

  The relevant people (e.g., operator, UR) receive a signal or alert automatically.

• Is detention information recorded?

  Yes - every anomaly goes into the system and can be analyzed historically.

• Does it support maintenance?

  Yes - earlier detection of downtime helps diagnose causes and improves availability.

• Does the analysis work with different types of packaging?

  Yes - the system is flexible and can be adapted to different product shapes and designs.

• Does the inspection require a line stop?

  No - the analysis is done in real time, without affecting the continuity of work.

• Does the system use artificial intelligence?

  Yes - it uses the YOLO AI model to recognize patterns and inconsistencies.

• Does the operator see the results of the analysis?

  Yes - defects are immediately detected and can be displayed or saved for further analysis.

• Does the system determine the level of filling?

  Yes - it visually evaluates the filling based on shape, color and contrast.

• Does it detect partially empty containers?

  Yes - it identifies unfilled passages and deviations from the norm.

• Is the measurement non-contact?

  Yes - it does not require touch or internal sensors, it works based on image.

• Is it possible to use a ToF camera?

  Yes - the system can use a depth-measuring camera to determine the fill even more accurately.

• Is the filling data being recorded?

  They are not recorded by default, but can be viewed and evaluated by the operator.

• What health and safety violations does the system detect?

  Lack of personal protective equipment (e.g., helmet, vest) and presence in a prohibited zone.

• Does the system recognize machines and vehicles?

  Yes - for example, forklifts that are in an unauthorized place.

• Is the data on violations archived?

  Yes - each event is recorded and can be analyzed later.

• Are gates or barriers needed?

  No - the system works solely on the basis of camera images.

• Can you receive alerts about violations?

  Yes - the system automatically sends notifications if an incident occurs.