METHOD AND APPARATUS FOR MONITORING A DRIVE MECHANISM OF AN AUTOMATED INSPECTION SYSTEM FOR INDUCING MOTION TO A CONTAINER PARTIALLY FILLED WITH A LIQUID

Abstract

A method and a corresponding apparatus for monitoring a drive mechanism of an automated inspection system for inducing motion to a container partially filled with a liquid. The method includes capturing measurement data of a surface of the liquid in the container, extracting form data regarding a form of the surface of the liquid from the measurement data and detecting whether the container is in motion based on the form data. The apparatus includes a measuring device and a processor operationally connected to the measuring device, wherein the measuring device is adapted to capture measurement data of a surface of the liquid in the container, and the processor is adapted to extract form data regarding a form of the surface from the measurement data, to detect whether the container is in motion based on the form data.

Claims

1. A method for monitoring a drive mechanism of an automated inspection system for inducing motion to a container partially filled with a liquid comprising the steps of: capturing measurement data of a surface of the liquid in the container; extracting form data regarding a form of the surface of the liquid from the measurement data; detecting whether the container is in motion based on the form data.

2. The method of claim 1, wherein capturing measurement data is performed by one of the following means: an optical sensor; an acoustic sensor; an x-ray detector.

3. The method of claim 2, further comprising the following step when capturing measurement data, is performed by means of the optical sensor: applying bottom lighting and/or top lighting and/or back lighting and/or side lighting and/or front lighting, of the container.

4. The method of claim 2, further comprising the step of applying optical filtering.

5. The method of claim 2, further comprising the step of generating an acoustic signal in a frequency range from 10 Hz to 20 kHz and/or an ultrasound signal in a frequency range from 20 kHz up to 1 MHz in air or up to 25 MHz in the liquid.

6. The method of claim 1, wherein the step of capturing comprises: determining a region of interest (ROI) comprising a section of the container within which at least part of the surface of the liquid is located.

7. The method of claim 1, wherein the step of extracting form data comprises at least one of the following: determining a form of the surface; determining a structure of the surface; determining a contour of the surface; determining a curvature or slope of the surface; determining a height difference between a height of the surface at a wall of the container and a height of the surface within a central region of the container; determining a presence of a vortex or turbulence within the liquid.

8. The method of claim 7, wherein the step of detecting comprises at least one of the following: determining whether the form of the surface matches a predefined template within a predefined tolerance; determining whether a curvature radius exceeds a predefined value; determining whether the height difference exceeds a predefined value.

9. The method of claim 1, wherein the step of capturing and/or the step of extracting comprises applying automated edge detection and/or feature recognition.

10. The method of claim 6, wherein the step of extracting comprises pixel counting, determining a number of pixels within the region of interest having an intensity within a predefined intensity interval or above a predefined intensity value and comparing the number with a predefined threshold value.

11. The method of claim 1, wherein the step of determining comprises: determining a strength of motion of the container based on the form data.

12. The method of claim 1, wherein the steps of capturing and extracting are repeated multiple times, and the step of determining comprises: determining a change in motion of the container based on the form data determined at different times.

13. A method for inspecting a liquid within a container, wherein the method comprises inducing motion to the container, for instance rotating, vibrating, shaking, rattling or swaying the container, and further comprises the method for monitoring a drive mechanism of claim 1.

14. A method for mixing a substance and a liquid or for centrifuging a liquid substance in a container, wherein the method comprises inducing motion to the container, for instance rotating, vibrating, shaking, rattling or swaying the container, and further comprises the method for monitoring a drive mechanism of claim 1.

15. An apparatus for monitoring a drive mechanism of an automated inspection system for inducing motion to a container partially filled with a liquid, the apparatus comprising: a measuring device; a processor operationally connected to the measuring device, wherein the measuring device is adapted to capture measurement data of a surface of the liquid in the container; the processor is adapted to extract form data regarding a form of the surface from the measurement data to detect whether the container is in motion based on the form data.

16. The apparatus of claim 15, further comprising a motion indicator operationally connected to the processor, wherein the motion indicator is adapted to indicate information regarding the state of motion of the container based on the form data.

17. The apparatus of claim 15, wherein the measuring device comprises at least one of the following: an optical sensor; a lighting unit adapted to provide bottom lighting and/or top lighting and/or back lighting and/or side lighting and/or front lighting of the container; an acoustic source; an acoustic sensor; an x-ray source; an x-ray detector.

18. The apparatus of claim 17, further comprising one of the following: a lens; an electromagnetic lens, adapted to direct or focus radiation emitted by the x-ray source.

19. The apparatus of claim 17, further comprising an optical filter.

20. The apparatus of claim 17, wherein the acoustic source is adapted to generate an acoustic signal in a frequency range from 10 Hz to 20 kHz and/or an ultrasound signal in a frequency range from 20 kHz up to 1 MHz in air or up to 25 MHz in the liquid.

21. The apparatus of claim 15, further comprising a pixel counter, adapted to determine a number of pixels within a region of interest having an intensity within a predefined intensity interval or above a predefined intensity value.

22. An automated inspection system for inspecting a liquid within a container, comprising a drive mechanism adapted to induce motion to the container, for instance to rotate, vibrate, shake, rattle or sway the container, and further comprising the apparatus of claim 15.

23. An automated system for mixing a substance and a liquid or for centrifuging a liquid substance in a container, comprising a drive mechanism adapted to induce motion to the container, for instance to rotate, vibrate, shake, rattle or sway the container, and further comprising the apparatus of claim 15.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention is further explained below by means of non-limiting specific embodiments and with reference to the accompanying drawings, which show the following:

[0064] FIG. 1 a conceptual diagram of a first embodiment of the apparatus according to the present invention;

[0065] FIG. 2 a conceptual diagram of a second embodiment of the apparatus according to the present invention;

[0066] FIG. 3 a conceptual diagram of a third embodiment of the apparatus according to the present invention;

[0067] FIG. 4 a cross-sectional view of a container under test with the region of interest encompassing the surface of the liquid contained in the container; and

[0068] FIG. 5 a photo of a cross-sectional view of a container under test with the region of interest encompassing the surface of the liquid contained in the container.

DETAILED DESCRIPTION OF THE INVENTION

[0069] FIG. 1 depicts a conceptual diagram of a first embodiment of the apparatus according to the present invention. The container 2 to be tested is mounted on a rotation mechanism 1 such as a plate or disc 16 propelled by a motor 17 so that the container 2 is rotated about its longitudinal/vertical axis a. If the container is rotating as expected the surface 4 of the liquid 3 within the container 2 will not be flat and horizontal, as is the case when the container 2 is not being rotated and standing still. Instead the liquid 3 will be forced away from the central axis a towards the wall 9 of the container 2 due to the centrifugal force caused by the rotation. Therefore, there will exist a height difference Δh between the surface 4 at the wall 9 and at the axis a. If a strong rotation is applied a vortex v or swirl with a funnel-like shape or more generally strong turbulence will be formed in the surface 4 of the liquid 3.

[0070] According to the method of the present invention image data of the surface 4 is captured in order to analyse the form of the surface 4 or to extract a specific feature of the surface 4, such as for instance its curvature, based upon which rotation of the container 2 is detected. In the embodiment shown in FIG. 1 a camera, i.e. an optical sensor 5, is employed as an imaging device 10 to capture the image data. The camera may comprise a lens 15, such as a wide-angle lens or a telephoto lens or a zoom lens or a macro lens, in order to optimally capture a sharp and detailed image of the surface 4 of the liquid 3. Moreover, especially to improve contrast, a lighting unit 8 adapted to provide bottom, top, back, side and/or front lighting of the container 2 may be used. The lighting may be directly coupled into the container 2, e.g. by integrating the lighting unit 8 into the plate or disc 16 onto which the container 2 is arranged/mounted. The material of which the container 2 is made, e.g. glass or plastic, as well as the liquid 3 within the container 2, can act as a waveguide for the light emitted by the lighting unit 8. The lighting unit 8 may emit visible, infrared (IR) or ultraviolet (UV) light. Moreover, an optical filter, such as a polarisation filter or a colour filter, may be arranged at the lighting unit 8 and/or the camera 5, e.g. be attached to the lens 15.

[0071] The captured image data is then processed by an image analysis processor 11, which for instance performs edge detection and/or feature recognition, and based on the extracted form data regarding the form of the surface 4 detects whether the container 2 is being rotated. The detected rotation data may then be provided to a rotation indicator 14, which for instance sends a signal to a control unit (not shown) connected to the motor 17.

[0072] FIG. 2 depicts a conceptual diagram of a second embodiment of the apparatus according to the present invention. In this embodiment an acoustic transducer, i.e. an acoustic/sound source 12 together with an acoustic/sound sensor 6, is employed as the measuring device 10 to capture the measurement data. The sound may be in the hearable frequency range from 10 Hz to 20 kHz and/or an ultrasound signal in a frequency range from 20 kHz up to 1 MHz in air or up to 25 MHz in the liquid. The acoustic sensor 6 may be a laser-based acoustic sensor. The measurement data provided by the acoustic sensor 6 is processed by the processor 11. The measurement data may take on the form of image data (e.g. like a sonar or ultrasound image) that can be processed by an appropriate image analysis processor. This embodiment is especially suited for non-transparent containers, i.e. which do not allow light to pass through the wall 9 of the container 2 or through the liquid 2.

[0073] FIG. 3 depicts a conceptual diagram of a third embodiment of the apparatus according to the present invention. In this embodiment an x-ray source 13 (or other high energy radiation source) is employed together with an x-ray detector 7 (or other high energy radiation detector) as the imaging device 10 to capture the measurement data. This embodiment too is especially suited for optically non-transparent containers and/or liquids.

[0074] FIG. 4 illustrates a cross-sectional view of a container 2 under test with the region of interest ROI encompassing the surface 4 of the liquid 3 contained in the container 2. Initially, the region of interest ROI may not be known and either needs to be adjusted manually by an operator of the apparatus, or automatically, e.g. with the help of the image analysis processor 11. In FIG. 4 it is clearly visible how the liquid 3 is forced against the wall 9 of the container 2 due to rotation of the container 2, such that the surface 4 of the liquid 3 has a curved form with an increased height of Δh at the wall 9. If the container 2 were swayed side to side there would also be a noticeable height difference Δh of the surface 4 of the liquid 3 between the two opposing walls 9 (as seen in a cross-sectional view of the container 2).

[0075] In the examples described above, a rotational motion is induced to the container 2. However, the container 2 can also be arranged/mounted on a plate/disc 16 which agitates the container 2 in some other way, for instance vibrates, shakes, rattles or sways the container 2, e.g. induces a translatory motion, for certain applications.

[0076] FIG. 5 shows a photo of a cross-sectional view of a container 2 under test with the region of interest ROI marked as a rectangle. As can be seen the surface 4 of the liquid 3 appears as a dark area in the photo, due to the reflections of the light from the lighting unit 8 (located below the container 2 in this case) on the agitated and therefor turbulent surface 4 of the liquid 3. The region of interest ROI may for instance be partitioned into a plurality of fields by means of a grid and the number of dark (e.g. black) pixels within each field of the grid may be determined using a pixel counter. Subsequently, the position of those fields containing a number of dark pixels exceeding a predefined threshold may be determined, based upon which information regarding the shape or form of the surface 4 is established. From this information it is possible to detect whether the container 2 is being rotated, vibrated, shaken, rattled or swayed (e.g. a specific state or kind of motion). It is even possible to determine the strength of the container's motion, e.g. how fast it is rotating. Additionally, by capturing a sequence of images it is possible to determine whether the strength of motion, e.g. the rate of rotation is changing, i.e. increasing, decreasing, or is steady.

[0077] In an especially simple implementation of the present invention employing a pixel counter the number of pixels within the entire region of interest ROI having an intensity above a certain predefined grey (e.g. darkness) level value are determined with the pixel counter (e.g. counts “dark” pixels). If this number exceeds a predefined threshold the liquid 3 and the container 2 are considered to be in motion. The higher the number determined with the pixel counter the stronger the motion of the liquid 3 and of the container 2. Therefore, the strength of the motion can also be determined from the number of dark pixels determined with the pixel counter. An increase of this number over time would therefore indicate an increase in motion of the liquid 3 and therewith of the container 2, and a decrease of this number over time would indicate a decrease in motion of the liquid 3 and therewith of the container 2.

LIST OF REFERENCE SYMBOLS

[0078] 1 drive mechanism [0079] 2 container [0080] 3 liquid [0081] 4 surface of the liquid [0082] 5 optical sensor, camera [0083] 6 acoustic/sound sensor [0084] 7 x-ray detector [0085] 8 lighting unit with a light source [0086] 9 container wall [0087] 10 measurement/imaging device [0088] 11 (image analysis) processor [0089] 12 acoustic/sound source [0090] 13 x-ray source [0091] 14 motion/rotation indicator [0092] 15 lens [0093] 16 rotatable/movable plate/disc [0094] 17 motor/drive [0095] Δh height difference [0096] a longitudinal/vertical axis of the container [0097] ROI region of interest [0098] v vortex/swirl