Idein List of Products and Services

"Edge AI" is a type of edge computing that processes data on devices at the edge of the network or on servers located nearby. It performs AI processing at the edge and minimizes communication with the cloud. Since data collected by cameras and sensors is processed on the edge, there is no need to send all the acquired data, significantly reducing communication costs. Additionally, only the minimum necessary data that has been analyzed is sent, which reduces the risk of information leakage and misuse. 【Benefits】 ■ Reduces communication costs ■ Enables low-latency processing ■ Reduces privacy risks *For more details, please refer to the related links or feel free to contact us.

• DMP
• IoT

We would like to introduce a case that addresses the challenge of wanting to remotely monitor unauthorized individuals and access to dangerous areas. By implementing the AI camera "Actcast," it becomes possible to analyze data on-site and send notifications 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 - Wanting 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.

• DMP
• IoT

We would like to introduce a case study that addresses the issue of high foot traffic in front of the store but low customer entry, and even when customers do enter, they do not go deep into the store. By utilizing the AI camera from "Actcast" to analyze the behavior of passersby and customers, we can identify problems with the store layout. Additionally, by conducting an analysis of the flow within the store, we can clarify customer behavior patterns, obstacles, and bottlenecks. This allows for the possibility of revising the store layout to encourage customers to venture deeper into the store, ultimately increasing purchase rates and amounts. 【Case Overview】 ■ Issues - High foot traffic in front of the store but low customer entry - Even when customers enter, they do not go deep into the store ■ Results - Analyzed the behavior of passersby and customers, discovering issues with the store layout - Clarified customer behavior patterns, obstacles, and bottlenecks - Enabled the possibility of revising the store layout *For more details, please refer to the related links or feel free to contact us.

• DMP
• IoT

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

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

We would like to introduce a case study that addresses the challenge of not knowing the effectiveness of digital signage (electronic displays) installed in stores. By implementing "Actcast," you can utilize AI cameras to understand whether the digital signage is being viewed and who is viewing it. Additionally, you will be able to measure the cost-effectiveness of the digital signage. Furthermore, using the demographic data of viewers, it becomes possible to tailor the content more appropriately. There is also the potential to use it not only for your own content but as an advertising medium. [Case Overview] ■Challenge - Although digital signage was installed in the store, its effectiveness was unclear. ■Results - Measurement of viewership rates and acquisition of viewer demographic data. - Measurement of cost-effectiveness. - Possibility of tailoring content more appropriately. *For more details, please refer to the related links or feel free to contact us.

• DMP
• IoT

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

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

We are currently running a campaign where you can easily and freely try out cutting-edge AI! "Consumer Insight AI" By analyzing images from AI cameras, you can understand customer traffic by day of the week and time (number of people, gender, age, visibility rate, etc.), and it can also be linked with signage. "Automatic Meter Reading AI" This AI can automatically digitize readings from analog meters without changing existing equipment, which can lead to labor savings and improved work efficiency. You can also utilize various AI functions on a single platform called "Actcast." About "No. 1 in Domestic Market Share" According to the research results from Deloitte Tohmatsu Mic Economic Research Institute's "Reality and Future Outlook of the Edge AI Computing Market 2022 Edition" (https://mic-r.co.jp/mr/02530/), regarding the vendor share (number of units) of edge AI platforms.

• IoT
• DMP

We are currently running a campaign where you can easily and freely try out cutting-edge AI! "Consumer Insight AI" By analyzing images from AI cameras, you can understand customer traffic by day of the week and time (number of people, gender, age, visibility rate, etc.), and it can also be linked with signage. "Automatic Meter Reading AI" This technology allows for the automatic digitization of readings from analog meters without changing existing equipment, which can lead to reduced labor and improved work efficiency. You can also utilize various AI functions on a single platform called "Actcast." About "No. 1 in Domestic Market Share" According to the Deloitte Tohmatsu Research Institute's report "Current Status and Future Outlook of the Edge AI Computing Market 2022 Edition" (https://mic-r.co.jp/mr/02530/), based on the survey results of "Vendor Share (Number of Units) of Edge AI Platforms."

• IoT
• DMP