Abstract: The disclosure relates to an optical system for eye tracking, including: a light source; arranged to emit light; a light detector for detecting light and indicating positional information of the detected light thereby; a Holographic Optical Element (HOE) arrangement, configured to direct light from the light source towards an eye, to receive at least one glint of the light from the eye and to direct light from the received at least one glint to be in focus at the light detector, the HOE arrangement being configured with a large enough numerical aperture so that ambient or stray light directed by the HOE arrangement is out of focus at the light detector. The optical system may form part of an Augmented Reality (AR) or Virtual Reality (VR) system.

Abstract: The present disclosure relates to an augmented reality eyeglass lens with a waveguide and a method of manufacturing such an eyeglass lens with a waveguide. The eyeglass lens including: a first lens part and a second lens part, with a cylindrical waveguide therebetween; and the cylindrical waveguide having cylindrical concentric opposing surfaces defining a first cylindrical interface with the first lens part and a second cylindrical interface with the second lens part, and the cylindrical waveguide is transparent and includes central waveguide core with a transparent medium at the first and second cylindrical interfaces.

Abstract: The disclosure relates to a beam scanner system for a virtual retinal display. The beam scanner includes an optical baffle; and a micro scanning mirror The micro scanning mirror is located on an optical axis of a light source, and configured and arranged to rotate about an axis of rotation to reflectively scan the light beam between a first angular position and a second angular position. The optical baffle is positioned with respect to the micro scanning mirror to controllably block or pass the light beam as the micro scanning mirror moves between a first angular position and a second angular position.

Abstract: A holographic device and method of forming a holographic device for a virtual retinal display, the holographic device including: a transparent substrate; and a holographic element arranged on said substrate; the holographic element includes a phase pattern and said phase pattern is a predefined optical coma configured and arranged to diffract light from a light source to form a plurality of images at an image plane of the holographic element. A virtual retinal display including a holographic device. An augmented reality system including a virtual retinal device and a pair of smart glasses.

Abstract: The present disclosure relates to an optical splitter for a scanning projector system such as that provided in an augmented reality system. The optical splitter includes: an input side and a spaced apart and opposing output side, the input side includes at least one input optical facet and the output side includes two or more output optical facets. The at least one input facet are arranged to receive an input optical signal from a light source, and the two or more output optical facets are arranged to output an output optical signal dependent on the input optical signal. Each of the output optical facets define an optical path and each of the optical paths have a different optical power.

Abstract: The disclosure relates to an eyeglass lens, including: a first lens part affixed to a second lens part, with a cylindrically-shaped interface therebetween; and a thin film interposed between the first and second lens parts at the cylindrically-shaped interface. The disclosure also relates to method of manufacturing an eyeglass lens, the method including: interposing a thin film between a first lens part and a second lens part, at a cylindrically-shaped interface between the first and second parts.

Abstract: In one or more embodiments, one or more methods, processes, and/or systems may receive data associated with completion of tasks by agents. Each task corresponds to a category of tasks and is associated with an outcome relative to satisfaction of a specification of performance by a work distributor. An aptitude prediction model is trained to map, for each category of task, a correlation between an outcome corresponding to satisfaction of the specification of performance and one or more aspects of each task and one or more attributes of each agent that has completed the task. An aptitude of each agent towards a category of tasks is determined. A probability that a first agent will complete a first task in a manner specified by the work distributor is predicted using the trained aptitude prediction model. Identification information of the first agent is provided for display in association with the determined probability.

Abstract: In one embodiment, a method includes receiving, by one or more processors of an information processing system, one or more results of a task. The method includes determining, by the one or more processors, an accuracy confidence score for each result of the task. The method includes determining, by the one or more processors, that the results satisfy an accuracy quality threshold set for the task based on the accuracy confidence score for each result of the task. The method includes providing, by the one or more processers, a determination for the task to a customer system in response to the determination that the results satisfy the accuracy quality threshold.

Abstract: In one embodiment, a method for providing recommendations for workflow alteration is disclosed. Task results for completion of a first set of iterations of a workflow are received. Training data may be extracted from the task results. The training data may be used to build a machine learning model for altering at least a portion of the workflow. An automation forecast that assesses the effects of altering the workflow for a second set of the iterations of the task may be generated, and a workflow alteration recommendation may be provided. Based on automation parameters, such as a minimum required level of accuracy, and the automation forecast, a recommendation regarding whether to automate the task may be included in the workflow alteration recommendation. Finally, based on the recommendation, an automated process may be generated to handle at least a portion of the task.

Abstract: An optical system is provided and includes: a cylindrical waveguide, having concentric inner and outer surfaces defining a common cylinder axis; and input optics, arranged to receive light from an image source and to cause the light to enter the cylindrical waveguide so that all rays originating from the same pixel of the image source are incident on a surface of the cylindrical waveguide at the same angle relative to the surface normal and at the same angle relative to a plane normal to the cylinder axis, at each point of incidence, the in- coupled light thereby retaining its direction angle as it propagates along the cylindrical waveguide. An optical display device, which can form part of a head-mounted display can be provided using the optical system.

Abstract: Particular embodiments manage distribution of tasks to heterogeneous group of computing devices is disclosed. Computing devices in the group may have disparate attributes that may affect handling of a specific task (e.g., processing speed, network bandwidth, GPU availability, utilization, type of operating system, availability of certain utilities). Tasks may be received from task-requester computer systems, and each task may be associated with an information set. This information set may comprise a description of the task, a token to be provided for completion of the task, and at least one task-processing rule for a task result provided by one or more computing devices involved in handling the task. Task results are received and compared to the task-processing rule until the task-processing rule is satisfied.

Abstract: An optical system is provided, including a Galilean magnification device, including an objective lens and an eyepiece lens arranged along an axis. One of the objective lens and the eyepiece lens is a positive lens and the other is a negative lens, thereby defining an image working distance; a reticle device within the Galilean magnification device, including a holographic element, the reticle device being configured to receive light for illuminating the holographic element from off the axis and to direct light from the holographic element on the axis, so that light from the holographic element is set at the image working distance by the eyepiece lens. There is also described a method for recording a holographic reticle for use in a Galilean magnification device.

Abstract: In one embodiment, a method for providing recommendations for workflow alteration is disclosed. Task results for completion of a first set of iterations of a workflow are received. Training data may be extracted from the task results. The training data may be used to build a machine learning model for altering at least a portion of the workflow. An automation forecast that assesses the effects of altering the workflow for a second set of the iterations of the task may be generated, and a workflow alteration recommendation may be provided. Based on automation parameters, such as a minimum required level of accuracy, and the automation forecast, a recommendation regarding whether to automate the task may be included in the workflow alteration recommendation. Finally, based on the recommendation, an automated process may be generated to handle at least a portion of the task.

Abstract: A holographic optical system is provided, including: a light source; a collimator, arranged to receive from the light source and having an output surface configured to provide collimated light, optical properties of the collimator generating aberrations in the collimated light; and an aberration-compensating holographic optical element having a planar diffractive surface arranged to receive collimated light from the output surface, the planar diffractive surface having optical properties such that output light from the planar diffractive surface is compensated for the aberrations generated by the collimator.

Abstract: In one embodiment, a method includes receiving workflow results from completion of a first set of iterations of a workflow. The workflow is associated with a workflow structure including one or more tasks within the workflow. The method includes producing a recommended alteration to the workflow structure including a percentage of the one or more tasks within the workflow to automate. The method includes extracting, from the workflow results, training data for training a machine learning model to automate one or more tasks within the workflow in accordance with the recommended alteration. The method includes causing a machine learning model to be trained to automate the one or more tasks within the workflow structure using the extracted training data. The method includes causing the machine learning model to perform the one or more tasks during a subsequent iteration of the workflow.

Abstract: In one or more embodiments, one or more methods, processes, and/or systems may receive data associated with completion of tasks by agents. Each task corresponds to a category of tasks and is associated with an outcome relative to satisfaction of a specification of performance by a work distributor. An aptitude prediction model is trained to map, for each category of task, a correlation between an outcome corresponding to satisfaction of the specification of performance and one or more aspects of each task and one or more attributes of each agent that has completed the task. An aptitude of each agent towards a category of tasks is determined. A probability that a first agent will complete a first task in a manner specified by the work distributor is predicted using the trained aptitude prediction model. Identification information of the first agent is provided for display in association with the determined probability.

Abstract: In one or more embodiments, one or more methods, processes, and/or systems may receive data associated with effective completion of tasks by agents and determine a positive correlation within the data between first particular feature values of feature vectors associated with the tasks and second particular feature values of feature vectors associated with the agents. A first agent associated with a feature vector that matches, within a first threshold, the second particular feature values may be selected, and a probability that the first agent will effectively complete a first task based on a feature vector associated with the first task matching, within a second threshold, the first particular feature values may be determined.

Abstract: Particular embodiments may receive, by one or more processors of an information processing system, results from completion of a plurality of iterations of a task performed by a worker. The volume of the results for the worker may be determined to be insufficient. A set of similar workers may be identified, wherein each of the similar workers has a sufficient volume of results for the task. A weighted score of similarity between the worker and the similar workers may be assigned based on the results of the task as completed by the similar workers. Estimates based on the weighted similarity score may be provided for the worker's behavior for the task.

Abstract: Particular embodiments may receive, by one or more processors of an information processing system, results of a benchmark task performed by a set of one or more workers. Performance of each of the workers in the set on the benchmark task may be determined. One or more best workers of the workers in the set may be selected. Particular embodiments may then determine whether at least one of the best workers is available for a new task. If one of the best workers is available, the new task may be assigned to the available best worker; else the new task may be assigned to a random worker.

Abstract: Particular embodiments may receive results from completion of a first set of a plurality of iterations of a workflow, the workflow comprising one or more tasks performed by one or more workers. A result for a task may be received from a worker. An outlier model may be determined based on a vector of behavioral features of the worker. A determination may be made regarding whether the result is fraudulent, based on the outlier model and a global normal feature vector.