Abstract: A system for training retail staff, the system comprising: an audio input device configured to receive an input audio stream spoken by a user; an audio output device configured to output an output audio stream; a display device; at least one processor; and at least one memory including computer program code; wherein the at least one processor, at least one memory and the computer program code are configured to allow the system to: receive the input audio stream spoken by the user using the audio input device; transcribe the input audio stream into transcribed text and extract relevant text results from the transcribed text using a Speech-to-Text (STT) API; generate a simulated customer response as generated text using a Generative Pre-Trained Transformer (GPT) API from the relevant text results; generate an output audio file from the generated text using a Text-to-Speech (TTS) API; play the output audio file using the audio output device as the output audio stream; evaluate performance of the user from the re

Abstract: A drive-through service monitoring system comprising: a camera provided at each of a plurality of locations in a drive-through service to obtain real-time footage of vehicles at each of the plurality of locations; and an intelligent video analytics (IVA) system provided and configured to determine, from the real-time footage obtained by the cameras: vehicle licence plate numbers to identify each vehicle at each of the plurality of locations and variables associated with vehicles using the drive-through service, wherein the variables include: a dwell time of each identified vehicle at each of a number of predetermined locations in the plurality of locations; and for each identified vehicle, at least one duration between at least one distinct pair of locations in the plurality of locations.

Abstract: An aspect of the present disclosure provides a natural language video analytics system. The system includes at least one processor and at least one memory including computer program code. The at least one processor, at least one memory and the computer program code are configured to allow the system to receive one or more natural language video analytics commands associated with video data, determine a validity of the one or more natural language commands using a trained neural network, in response to a positive determination of the validity of the one or more natural language commands, generate machine-readable video analytics instructions based on the one or more natural language commands using the trained neural network, and transmit the machine-readable video analytics instructions to a display module, the display module configured to update an output display based on the machine-readable video analytics instructions.

Abstract: An aspect of the present disclosure provides a crowd counting system. The system includes at least one processor, and at least one memory including computer program code.

Abstract: An aspect of the present disclosure provides a multi-camera object tracking system. The system includes at least one processor; and at least one memory including computer program code.

Abstract: The technology relates to technology for detecting a predetermined image using a template of the predetermined image. The method includes detecting a color, reducing the color to a range of the color, converting to a grayscale plurality of images, extracting at least one edge of the grayscale images, identifying each component in the images, conducting binarization for the each component, obtaining a threshold value, normalizing the template, and matching the template to the predetermined image.