Proximity detection systems and methods
US-2016369630-A1 · Dec 22, 2016 · US
US8948903B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8948903-B2 |
| Application number | US-74786208-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 30, 2008 |
| Priority date | Dec 21, 2007 |
| Publication date | Feb 3, 2015 |
| Grant date | Feb 3, 2015 |
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A machine tool device having a monitoring unit for monitoring at least one machine tool monitoring range, the monitoring unit having an evaluation unit. The evaluation unit has a computing unit which is provided to distinguish at least two motions in the machine tool monitoring range.
Opening claim text (preview).
What is claimed is: 1. A machine tool device, comprising: a monitoring unit for monitoring at least one machine tool monitoring range, the monitoring unit having an evaluation unit, the evaluation unit having a computing unit adapted to determine a motion vector field and to distinguish at least two motions in the machine tool monitoring range; wherein the computing unit is adapted to: determine a comparison variable between motion parameters of the at least two motions, each of which characterizes a different motion; and detect the presence of a human body part in the machine tool monitoring range based on the motion vector field by ascertaining an extension of a region of uniform velocity and comparing the extension to prestored data corresponding to an extension of the human body part. 2. The machine tool device as recited in claim 1 , wherein the motion parameters in each case characterize a velocity value. 3. The machine tool device as recited in claim 1 , wherein the motion parameters in each case characterize a direction of motion. 4. The machine tool device as recited in claim 1 , wherein the computing unit is adapted to distinguish at least two regions of uniform velocity in at least one operating mode in the motion vector field. 5. The machine tool device as recited in claim 1 , wherein the computing unit is adapted to distinguish the motions from one another by evaluating optical data. 6. The machine tool device as recited in claim 5 , wherein the computing unit is adapted to distinguish the motions with the aid of an optical flow method. 7. The machine tool device as recited in claim 1 , further comprising: a safety device to carry out a safety measure as a function of a signal of the evaluation unit. 8. The machine tool device as recited in claim 7 , wherein the computing unit is adapted to associate a security level of the safety device with the comparison variable. 9. A machine tool, comprising: a tool; and a machine tool device, including a monitoring unit for monitoring at least one machine tool monitoring range associated with the tool, the monitoring unit having an evaluation unit, the evaluation unit having a computing unit adapted to determine a motion vector field and to distinguish at least two motions in the machine tool monitoring range; wherein the computing unit is adapted to: determine a comparison variable between motion parameters of the at least two motions, each of which characterizes a different motion; and detect the presence of a human body part in the machine tool monitoring range based on the motion vector field by ascertaining an extension of a region of uniform velocity and comparing the extension to prestored data corresponding to an extension of the human body part. 10. A method for monitoring a machine tool device, comprising: monitoring a machine tool monitoring range of a machine tool; detecting data in the machine tool monitoring range; determining a motion vector field; distinguishing at least two motions in the machine tool monitoring range from one another based on the data; and determining a comparison variable between motion parameters of the at least two motions, each of which characterizes a different motion detecting the presence of a human body part in the machine tool monitoring range based on the motion vector field by ascertaining an extension of a region of uniform velocity and comparing the extension to prestored data corresponding to an extension of the human body part. 11. The method as recited claim 10 , further comprising: associating a security level of a safety device via which a safety measure is carried out with the comparison variable.
Video; Image sequence · CPC title
Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title
the means being photocells or other devices sensitive without mechanical contact · CPC title
Devices characterised by the use of optical means, e.g. using infrared, visible, or ultraviolet light (G01P3/68 takes precedence; gyrometers using the Sagnac effect, i.e. rotation-induced shifts between counter-rotating electromagnetic beams G01C19/64) · CPC title
Processes · CPC title
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