Challenge: Detecting Abnormal Behavior That Causes Quality Degradation
Suspicious person detection
Solution: Detection of Suspicious Behavior by AI

In the manufacturing industry, there are requests to eliminate abnormal behavior that leads to quality deterioration, and to detect suspicious persons and prevent crimes as a crime prevention measure in the retail industry and hotels.
By equipping the AI algorithm with a model that can detect suspicious movements, it is possible to detect anomalies in "behavior" that were difficult to detect with conventional security systems.

Challenge: Eliminate quality variations in visual inspection
Solution: Automate appearance inspection with AI

When checking the quality of products in factories, visual inspections are still often performed rather than computer-assisted inspections for chemicals, automobile parts, and the like. In response to the issue of preventing quality variations due to individual differences, AI can be used to automate appearance inspections to improve quality and achieve stability.

Challenge: I want to reduce the number of people on the manufacturing line/retail store/construction site
I want to eliminate the lack of work level in tasks that are dependent on individual skills
Solution: Independence and automation of equipment by AI

As the declining population in Japan has become a social problem, more and more people are facing issues such as labor shortages, human resource development, and labor cost reduction. By digitizing not only simple work but also skilled technology through the evolution of AI, it is possible to support the operation of unskilled workers, improve productivity, and reduce the number of personnel as a result.

Challenge: Detecting intrusions into dangerous or restricted areas
I want to prevent falls on railroad tracks.
Solution: Human detection in an area using AI 

In manufacturing plants and construction sites, there are places that pose a danger to the human body, and there is a demand to sound an alert when a person intrudes into that area. In addition, in order to prevent falls and collision accidents at airports, roads, and railways, it is possible to specify an area in the image of the surveillance camera and detect people in that area. Conventional sensors sometimes falsely detect animals, but AI analysis can accurately detect people.

Challenge: Difficult to manage frequent employee turnover
I want to streamline entry/exit management
Solution: Face recognition and attribute analysis by AI 

In places where a large number of employees enter and exit on a daily basis, entry and exit may be permitted only in designated areas, making entry and exit management difficult. With the latest AI, face recognition and attribute analysis are easy, it does not take time to create a huge amount of data, and it is possible to easily create data for authentication by extracting from group photos and videos when people go to work.

Problem: I want to solve the traffic congestion of cars
I want to understand the congestion situation of people
Solution: Understanding traffic volume and number of people using AI 

There is a movement to prevent accidents by visualizing traffic congestion with AI based on camera images and changing traffic lights according to traffic volume. In addition, it is expected to be used in various ways to improve user satisfaction by grasping the congestion status of hotels and hospitals and avoiding busy hours.

Challenge: I want to apply information on the attributes and leads of visitors to marketing
Solution: Combining attribute/behavior analysis by AI and existing data 

Based on the accumulated video data, it is possible to analyze the attributes and behavior of visitors. By combining the analysis results of attributes, length of stay, and line of sight with conventional environmental data and member information, we will pay attention to the possibility of creating added value such as reviewing products and shelf layouts and understanding peak hours for retail stores. are gathering.