Analysis device - List of Manufacturers, Suppliers, Companies and Products | IPROS

Analysis device Product List

1～4 item / All 4 items

Displayed results
[Case Study] Entertainment/Event / AI Function Understanding of Congestion Status

[Case Study] Entertainment/Event / AI Function Understanding of Congestion Status

Real-time measurement of congestion levels in stores and facilities! Enables understanding of where and when congestion occurs.

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 using the AI camera from "Actcast" to collect data on crowd conditions at the site, we can implement various measures to ensure that customers can use the facilities with confidence. Additionally, based on the collected data, we can repeatedly form and verify hypotheses to carry out 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 crowd occurrences 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.

  • DMP
  • IoT
  • Analysis device

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

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

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

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

We will introduce a case that addresses the issues of not being able to grasp the customer service situation and content in stores, and staff being exhausted due to customer harassment. By implementing "Actcast" and capturing the conversation content 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 stores and processing the audio data to separate it into customer and staff sides, we can further convert this data into text 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 are exhausted due to 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.

  • DMP
  • IoT
  • Analysis device

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[Case Study] Real Estate / AI Function Person Count and Attribute Analysis

[Case Study] Real Estate / AI Function Person Count and Attribute Analysis

We will introduce a case where the event attendance situation at commercial facilities can be understood in real time.

We will introduce a case study that addresses the challenge of wanting to understand the total number of visitors to a large shopping mall and the attendance situation of events. By using the AI camera from "Actcast," it becomes possible to reduce labor costs compared to manual headcount methods. Additionally, counting errors decrease, and the reliability of the numbers increases. Furthermore, by obtaining attribute data, it becomes possible to gain a more detailed understanding of the visitor demographics, allowing for more effective planning and execution of various measures that can lead to increased sales. [Case Overview] ■ Challenge - Want to understand the number of visitors and the attendance situation of events ■ Results - Real-time understanding of event attendance - Reduction in labor costs - Decrease in counting errors, increasing the reliability of the numbers [Expected Effects] ■ By tracking the number of visitors by hour, the effectiveness of events can be measured ■ Analysis results can also be used as foundational information for tenant pricing during tenant leasing *For more details, please refer to the related links or feel free to contact us.

  • DMP
  • IoT
  • Analysis device

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[Case Study] Retail/AI Function Person Attribute Analysis

[Case Study] Retail/AI Function Person Attribute Analysis

Introducing examples of understanding the behaviors and attributes of non-purchasing customers that cannot be captured 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 to analyze the gender and age of visitors, it becomes possible to understand the differences between purchasing and non-purchasing customers. By cross-referencing the data of non-purchasing customers with POS data, it is possible to determine whether the targeted audience truly matches the customer demographic. Furthermore, based on these results, you can optimize the display shelves to fit the customer demographic, as well as review products, in-store displays, and promotional content. [Case Overview] ■ Challenge - High number of store visitors, but not translating into sales ■ Results - Understanding the differences between purchasing and non-purchasing customers - Optimizing display shelves based on the results to match the customer demographic - Ability to review products, in-store displays, and promotional content *For more details, please refer to the related links or feel free to contact us.

  • DMP
  • IoT
  • Analysis device

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

Related Categories of Analysis device

COPYRIGHT © 2001-2026 IPROS CORPORATION ALL RIGHTS RESERVED.