Abstract: Provided are computer-implemented technologies of identifying visual pollutions. The technologies include training expert models based on an enhanced knowledge distillation paradigm in which a student model learns from a number of teacher models via a customized training approached specifically for achieving efficiency and effectiveness, quality-controlling and fine-tuning the trained expert model in a production environment via continuous training under newly incorporated training data and object classifications and factoring feedbacks of the detection result of the model on new training data and/or new object classifications, deploying and applying the expert model in detecting, tracking, logging, counting, and reporting a set of visual pollution elements in an environment where visual pollutions are to be detected.

Abstract: Provided is an edge-device based system and method for real-time detection and dimension estimation of signages by capturing images thereof by using a mounted monocular camera then processing them using a multi-module system that comprises Object Detection, Segmentation, Tracking, and Dimension Estimation modules to detect, segment, track, and estimate dimension of shop boards. The system/method also applies a deep neural network that is trained with labeled data to optimize the model parameters gathered by capturing video from moving vehicle passing through multiple different shops with unconfined locations.

Abstract: An apparatus for generating an inspection schedule includes one or more processors configured to: receive one or more schedule requests comprising inspector features, establishment features, and penalty features; generate inspector information for an inspector model based on the inspector features; generate establishment information, comprising a probability of imposing a penalty on an establishment of the establishment features, for an establishment model based on the establishment features and the penalty features; and generate, for an inspector of the inspector features using a violation model, the inspection schedule based on the inspector information and the establishment information.

Abstract: An Edge encapsulated method and system for real-time detection of a double parking vehicle blocking parked vehicles by capturing images using a mounted monocular camera then processing using two Semi-Supervised Object Detection (sSOD) stages, that is trained with partly labeled and mostly unlabeled data to optimize the model parameters for the detection problem, gathered by capturing video from moving vehicle passing through multiple different vehicle types and parking systems with unconfined location.

Abstract: The invention pertains to a valve monitor system comprising a valve operation mode selector indicator that provides a local indicator to maintenance personnel of whether a valve operation mode selector switch is placed in a local or remote position. The valve monitor system also provides a circuit to a central control room or facility, to allow an operator there to know whether a pipeline valve controlled by the valve operation mode selector switch is configured for local or remote operation.