Abstract: Disclosed is a console for an ophthalmosurgical system, having a cassette holder into which a cassette is insertable for controlling the flow of an irrigation fluid to a surgical instrument for an eye that is to be treated, and having a clamping device assigned to the cassette holder, for releasably securing a cassette to the console. The clamping device is adjustable between an open position, which permits insertion of a cassette into the cassette holder and removal of a cassette from the cassette holder, a positioning position, in which a cassette is at least partially engaged around by a pivoting of the clamping device and is positioned in the cassette holder, and a clamping position, in which a cassette is secured on the cassette holder by a linear adjustment of the clamping device. Also disclosed are an associated cassette, and ophthalmosurgical system.

Abstract: In some implementations, a target object identification system may train a machine learning model to identify a target object in a volume of solid waste. The target object identification system may receive, from at least one imaging device positioned in a waste processing facility, imaging data associated with a portion of a volume of solid waste. The target object identification system may identify, using the trained machine learning model and based at least in part on the imaging data, the target object, wherein the target object is disposed within the volume of solid waste. The target object identification system may provide, to a separator control assembly that controls a separator, an output associated with the target object, wherein the output is to facilitate removal of the target object from the volume of solid waste.

Abstract: A robot system for picking randomly shaped and sized object from a continuously moving stream of objects in bulk, e.g. a 3D bulk, and placing the object singulated and aligned on an induction or directly on a sorter. A pick and place robot has a robotic actuator for moving a gripper with a controllable gripping configuration of its gripping members, e.g. four suction cups, to adapt the gripper for various objects. A control system processes a 3D image of objects upstream of a position of the pick and place robot, identifies separate objects in the 3D image, and selects which object to grip, based on parameters of the identified separate objects determined from the 3D image. Based on e.g. size and shape of the selected object to grip, the gripping configuration of the gripper is adjusted to match the surface of the object to grip for optimal gripping. The robotic actuator, e.g.

Abstract: A tube for a medical treatment system has a first channel for feeding an irrigation fluid from a console of the system to a medical treatment instrument of the system and a second channel for discharging an aspiration fluid from the instrument to the console. The first and the second channels are arranged in parallel. The first channel has a first wall and the second channel has a second wall. A second material of the second wall has a greater hardness than a first material of the first wall. The tube is formed from two individual tube elements for the channels. The tube elements are welded or adhesively bonded in a connection region. The difference between the hardness of the first material and the hardness of the second material is at least 10 ShA and at most 15 ShA.

Abstract: A cassette for a console of an ophthalmosurgical system for treating an eye is configured for insertion into a cassette receiving region of the console and has a fluid pump configured to deliver a treatment fluid, a tube for attachment to a handpiece, and a connection unit secured against detachment, of a cassette-side end of the tube to a cassette housing of the cassette. The connection unit includes an attachment stub arranged on the cassette housing and has a through opening for the treatment fluid, and a plug-in connector arranged on the cassette-side end of the tube and likewise has a through opening for the treatment fluid, with the plug-in connector, when it is connected to the attachment stub, being held in a fluid-tight manner with respect to the attachment stub and so as to be able to rotate about a longitudinal axis of the through opening.

Abstract: An ophthalmic surgical cartridge has a fluid pump with a pump chamber and a drive chamber which are separated by a fluid-tight and ion-tight partition element. A body fluid is suppliable to the pump chamber and a drive fluid is suppliable to the drive chamber. A deformation or change in position of a portion of the partition element is achievable with the drive fluid which increases the second volume in size and decreases the first volume in size to drain the body fluid from the pump chamber. The drive chamber has a front side wall with an edge zone in which only a single passage opening is provided, through which the drive fluid is suppliable into the drive chamber to fill the drive chamber with the drive fluid, and through which said drive fluid can be drained from the drive chamber to remove the drive fluid from the drive chamber.

Abstract: A method for providing a training data set used for training a signal classification neural network is provided. The method includes generating at least one first virtual waveform primitive comprising a predetermined signal level and at least one second virtual waveform primitive comprising a signal edge. The training data set is formed and comprises a predetermined number of generated virtual waveform primitives including first virtual waveform primitives and second virtual waveform primitives. Each virtual waveform primitive comprises a sequence of time and amplitude discrete values. The training data set is used for training the signal classification neural network.

Abstract: In some implementations, a target object identification system may train a machine learning model to identify a target object in a volume of solid waste. The target object identification system may receive, from at least one imaging device positioned in a waste processing facility, imaging data associated with a portion of a volume of solid waste. The target object identification system may identify, using the trained machine learning model and based at least in part on the imaging data, the target object, wherein the target object is disposed within the volume of solid waste. The target object identification system may provide, to a separator control assembly that controls a separator, an output associated with the target object, wherein the output is to facilitate removal of the target object from the volume of solid waste.

Abstract: The present disclosure relates to a method of analyzing a pulse modulated signal, wherein the method comprises: receiving a pulse modulated signal; determining a dynamic threshold level based on a period of the pulse modulated signal and the pulse modulated signal; and demodulating the pulse modulated signal by the dynamic threshold level. Moreover, a signal analysis instrument for analyzing a pulse modulated signal is described.

Abstract: The present disclosure relates to a method of analyzing a pulse modulated signal, wherein the method comprises: receiving a pulse modulated signal; determining a dynamic threshold level based on a period of the pulse modulated signal and the pulse modulated signal; and demodulating the pulse modulated signal by the dynamic threshold level. Moreover, a signal analysis instrument for analyzing a pulse modulated signal is described.

Abstract: Conveyor system for the conveying of goods items, with at least one transport container for accommodating a goods item and a controlled, drivable and movable, driverless transport unit for accommodating and conveying a transport container; where the transport unit comprises a discharge device for unloading a goods item, situated on the accommodated transport container, from the transport container and a retaining mechanism for establishing a detachable connection between the transport container and the transport unit, by means of which the transport container is to be held on the transport unit.

Abstract: A method for providing a training data set used for training a signal classification neural network, the method comprising the steps of: generating at least one first virtual waveform primitive comprising a predetermined signal level and at least one second virtual waveform primitive comprising a signal edge; forming the training data set comprising a predetermined number of generated virtual waveform primitives including first virtual waveform primitives and second virtual waveform primitives, wherein each virtual waveform primitive comprises a sequence of time and amplitude discrete values and using the training data set for training the signal classification neural network.

Abstract: A method for optimizing at least one motion profile, a computer program product for performing the method and a related control device for this purpose, wherein commencing from a master motion profile, at least one slave motion profile describes a motion of an actuator, the respective slave motion profile being connected via a cam disk function and/or a kinematic transformation, where the motion profiles are divided into areas, based constraints of slave motion profiles, the maximum speed of the master motion profile is computed for each area, a difference between the highest and the lowest maximum speed is selected, the area having the highest maximum speed is subsequently reduced, and the area having the lowest maximum speed is enlarged, until the difference between the two maximum speeds is less than a tolerance.

Abstract: Conveyor system for the conveying of goods items, with at least one transport container for accommodating a goods item and a controlled, drivable and movable, driverless transport unit for accommodating and conveying a transport container; where the transport unit comprises a discharge device for unloading a goods item, situated on the accommodated transport container, from the transport container and a retaining mechanism for establishing a detachable connection between the transport container and the transport unit, by means of which the transport container is to be held on the transport unit.

Abstract: A method for thermo-chemical energy storage involves carrying out reversible chemical reactions for the storage of heat energy in the form of chemical energy in one or more chemical compounds for later re-release in the form of heat energy using chemical equilibrium reactions. Equilibrium reactions of ammine complexes of transition metal salts are carried out for the storage and re-release of the energy. Specifically, ammine complexes of transition metal salts are formed and decomposed according to the following reversible total reactions: [Me(NH3)n]X+?HR?MeX+n NH3, wherein Me represents at least one transition metal ion and X represents one or more counterion(s) in a quantity sufficient for charge equalizing the complex, according to the valence thereof and that of the transition metal ion. Also, one or more transition metal salt(s), carried on a carrier material that is inert with regard to the reaction, is/are used.