課題：品質低下を引き起こす異常行動の検知

　　　不審者の発見　　　　　　　　　　　

解決：AIによる不審な「行動」の検知

製造業の現場では、品質低下につながる異常行動をなくしたいといった声や、小売業・ホテルでの防犯対策として、不審者の発見や、犯罪を未然に防止したいというご要望があります。

AIのアルゴリズムに不審な動きを検知できるモデルを搭載することで、従来の防犯システムでは検出が難しかった「行動」の異常を検知することが可能です。

課題：目視検査の品質ばらつきをなくしたい

解決：AIによる外観検査の自動化

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.

課題：製造ライン/小売店/建設現場の人員を減らしたい

　　　属人化している業務の作業レベル不足を解消したい

解決：AIによる機器の自立化・自動化

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.

課題：危険エリアや制限されたエリアへの侵入を検知したい

　　　鉄道線路への転落を未然に防ぎたい

解決：AIによるエリア内の人物検知

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.

課題：頻繁に入れ替わる従業員の管理が難しい

　　　入退出の管理を効率化したい

解決：AIによる顔認証・属性分析

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.

課題：車の交通渋滞を解消したい

　　　人の混雑状況を把握したい

解決：AIによる交通量・人数の把握

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.

課題：来店者の属性や導線の情報をマーケティングへ応用したい

解決：AIによる属性・行動分析と既存データを組み合わせる

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.