A system for increasing safety during robot-human collaborations in a manufacturing environment is provided. The method includes at least one wearable device for use by a human worker and an industrial robot in operative communication with the at least one wearable device. The industrial robot is equipped to detect location of the human worker using the at least one wearable device. The at least one wearable device may include an earpiece. The at least one wearable device may include a set of earpieces including a left wearable earpiece and a right wearable earpiece.

A machining system comprises a machine tool, a machine tool controller that controls the machine tool, an auxiliary device that assists the machine tool, and an auxiliary device controller that controls the auxiliary device. The machine tool and the auxiliary device work cooperatively for machining. The machining system comprises a signal management unit that receives a first signal and a second signal. The first signal indicates information about the machine tool as a criterion used for determining whether the machine tool and the auxiliary device are operable or inoperable. The second signal indicates information about the auxiliary device as a criterion used for determining whether the machine tool and the auxiliary device are operable or inoperable. The signal management unit outputs a third signal indicating an operable state or an inoperable state of the machine tool and the auxiliary device to the machine tool controller and the auxiliary device controller based on the first signal and the second signal.

A machine control and data logging station, intended for use with a saw or other machine tool, features a processor which monitors a number of input lines, a real time clock and time stamp function. Any change of input signals from the machine tool will be recorded in flash memory. Both wired and wireless outputs may read the memory at any given time. Optionally, hardware or software data communication encryption may be employed to provide increased confidentiality and security. The station continually monitors sensor inputs and can react automatically to emergency-stop the machine tool upon sensing a dangerous condition.

A machined surface quality evaluation device includes a machine learning device that learns a result of evaluation on machined surface quality of a workpiece by an observer which correspond to an inspection result on the machined surface quality of the workpiece. The machine learning device observes the inspection result on the machined surface quality of the workpiece as a state variable, acquires label data indicating the result of the evaluation on the machined surface quality of the workpiece by the observer, and learns the state variable and the label data in a manner such that they are correlated each other.

A system for increasing safety during robot-human collaborations in a manufacturing environment is provided. The method includes at least one wearable device for use by a human worker and an industrial robot in operative communication with the at least one wearable device. The industrial robot is equipped to detect location of the human worker using the at least one wearable device. The at least one wearable device may include an earpiece. The at least one wearable device may include a set of earpieces including a left wearable earpiece and a right wearable earpiece.

The present invention relates to the interworking controlling method of an electronic eye protection apparatus for welding and a smartphone, or more specifically, it relates to the interworking controlling method of an electronic eye protection apparatus for welding and a smartphone, which enables remote management from a smartphone by interworking history state data on utilization, operation, settings, failure of the electronic eye protection apparatus for welding, and which enables location searching and anti-theft function such as password setting of electronic eye protection apparatus for welding with a smartphone.

A system for increasing safety during robot-human collaborations in a manufacturing environment is provided. The method includes at least one wearable device for use by a human worker and an industrial robot in operative communication with the at least one wearable device. The industrial robot is equipped to detect location of the human worker using the at least one wearable device. The at least one wearable device may include an earpiece. The at least one wearable device may include a set of earpieces including a left wearable earpiece and a right wearable earpiece.

An apparatus is for a user, a workplace danger zone, a hazardous workplace machine, a detector assembly and a computer assembly. The apparatus includes a garment configured to be worn by the user, and an identification device being configured to be coupled to the garment. The identification device is configured to be wirelessly detected.

A device for failsafe monitoring a number of passes of a moving machine part through a defined movement region comprising an input for receiving an encoder signal, which represents a motion value of the moving machine part. The device further comprises a failsafe evaluation unit for providing a failsafe shutdown signal as a function of the number of passes of the moving machine part through the defined movement region. The failsafe evaluation unit is configured to determine the number of passes of the moving machine part through the defined movement region from the motion value.

The present invention relates to the interworking controlling method of an electronic eye protection apparatus for welding and a smartphone, or more specifically, it relates to the interworking controlling method of an electronic eye protection apparatus for welding and a smartphone, which enables remote management from a smartphone by interworking history state data on utilization, operation, settings, failure of the electronic eye protection apparatus for welding, and which enables location searching and anti-theft function such as password setting of electronic eye protection apparatus for welding with a smartphone.