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[Case Study] Entertainment/Events / AI Function Understanding Congestion Status

Real-time measurement of congestion levels in stores and facilities! Allows for understanding the locations and times of congestion occurrences.

We would like to introduce a case that addresses the challenge of implementing measures against infectious diseases such as the novel coronavirus, so that customers can use stores and facilities with peace of mind. By obtaining congestion data from the field using the AI camera "Actcast," we can implement various measures to ensure that customers can use our services with confidence. Additionally, based on the acquired data, we can repeatedly form and verify hypotheses to implement various initiatives and track their effectiveness numerically. As a result, this leads to improved customer service through effective measures. [Case Overview] ■Challenge - Implement measures against infectious diseases such as the novel coronavirus - Ensure that customers can use stores and facilities with peace of mind ■Results - Understand the locations and times of congestion using AI cameras - Enable the implementation of various measures - Lead to improved customer service through effective initiatives *For more details, please refer to the related links or feel free to contact us.

  • Other measurement, recording and measuring instruments

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[Development Case] Analysis of Biological Information Data

Analysis using AI on biological information.

In 2022, we conducted analysis on information obtained from domestic companies' biological devices. From research on time-series data to the construction of an inference system. This time, since the subject was time-series data, we selected journals and conferences that corresponded to it and chose an appropriate Neural Network model architecture from those papers. Furthermore, we implemented the model, conducted training and evaluation, built the inference system, and visualized the results. Visualizing the results. Time-series data is difficult to visualize, but without appropriate visualization, evaluating the results becomes challenging. This time, we employed several methods to creatively visualize the data. *For more details, please refer to the related links or feel free to contact us.*

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[Case Study] Customer Service/AI Function Conversation Analysis (Speaker Separation)

By obtaining and textifying conversation data with customers, it becomes possible to understand the situation even without being on-site.

We will introduce a case that addresses issues such as not being able to grasp the customer service situation and content in stores, and staff being exhausted from customer harassment. By implementing "Actcast" and capturing the content of conversations as text data, we can enhance the quality of customer service and allow staff to serve customers with peace of mind. Additionally, by placing AI microphones in the store and processing the audio data to separate it into customer and staff sides, we can further convert this into text data on the server side. Based on this conversation data, we can improve employee training and implement measures against customer harassment. [Case Overview] ■ Issues - Unable to grasp the customer service situation and content in stores - Staff exhausted from customer harassment ■ Results - Ability to understand the situation even when not on-site - Improvement of employee training and implementation of measures against customer harassment based on conversation data *For more details, please refer to the related links or feel free to contact us.

  • Other measurement, recording and measuring instruments

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[Case Study] Retail/AI Function Person Attribute Analysis

Introducing examples of understanding the behavior and attributes of non-purchasing customers that cannot be obtained through POS data.

We would like to introduce a case study that addresses the issue of having a high number of store visitors without corresponding sales. By implementing "Actcast" and installing AI cameras in the store, we can analyze the gender and age of visitors, allowing us to understand the differences between purchasing and non-purchasing customers. By cross-referencing the data of non-purchasing customers with POS data, it becomes possible to determine whether the targeted demographic truly matches the customer base. Furthermore, based on these results, we can optimize the display shelves to suit the customer demographics, as well as review products, in-store signage, and promotional content. 【Case Overview】 ■Challenge - High number of store visitors but no corresponding sales ■Results - Understanding the differences between purchasing and non-purchasing customers - Optimizing display shelves based on customer demographics - Ability to review products, in-store signage, and promotional content *For more details, please refer to the related links or feel free to contact us.

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[Case Study] Manufacturing/AI Function Area Detection

Introducing a case where intrusion into a specific area can be detected and notified in real-time.

We would like to introduce a case that addresses the challenge of being able to remotely monitor unauthorized individuals and access to dangerous areas. By implementing the AI camera "Actcast," it is possible to analyze data on-site and send notifications of results in real-time. Additionally, by analyzing the behavior of workers, it expands the potential for detecting unauthorized access and misconduct, collecting and addressing near-miss incidents, and improving business processes. 【Case Overview】 ■Challenge - We want to be able to remotely monitor unauthorized individuals and access to dangerous areas. ■Results - Installation of AI cameras to detect intrusions into specific areas and send real-time notifications. - Detection of unauthorized access and misconduct, collection and addressing of near-miss incidents. - Potential for use in improving business processes. *For more details, please refer to the related links or feel free to contact us.

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