Anomaly Detection System Product List and Ranking from 19 Manufacturers, Suppliers and Companies

Abnormal Detection System Based on Molding Machine Clamping Force 【MyCFM】

Anomaly detection system based on manufacturing site performance.

Install a strain sensor on the tie bar of the molding machine to collect clamping force data. Through AI data analysis, monitor the condition of the clamping device, mold, and product, and quickly capture information that leads to abnormality detection. - Data collection of clamping force is possible by installing just one sensor on the tie bar. - Monitor changes in clamping force and detect abnormalities early. - The sensor is removable. By replacing it, it can be repurposed for various molding machines.

Data Logger
Anomaly Detection System

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[AUTOCRYPT] Outcrypt IDS

A system for detecting and preventing abnormal operation of in-vehicle communication protocols.

AutoCrypt IDS is a system that detects and prevents abnormal operations of ECUs and in-vehicle communication protocols. It utilizes two security sensors, N-IDPS (Network Intrusion Detection & Prevention System) and H-IDS (Host Intrusion Detection System), to detect and analyze unauthorized access and cyber attacks from external sources, and to block them. To support various protocols such as CAN, Ethernet, and CAN-FD, it is designed to be compatible with different systems and in-vehicle communication protocols. Additionally, with its proprietary technology, it offers policy management features that enable automatic generation of detection policies and policy validation through simulations, allowing for safer and more advanced policy configurations. It can be implemented in all AUTOSAR and legacy environments, and with its automatic policy creation and simulation features, it reduces the burden of generating and validating detection policies, enabling efficient operation through resource monitoring as an IDS solution.

Company：大韓貿易投資振興公社(KOTRA)
Price：Other

Other Auto Parts
Anomaly Detection System

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Manufacturing Trouble Automatic Detection Solution 'LOSS0'

Abnormality detection and recording solution for manufacturing sites for production managers.

Are production managers facing the following challenges? - Want to identify the causes of production schedule delays. - Want to quickly detect problems during production. - Want to achieve planned production and reduce excess inventory. The "abnormal detection and recording solution for manufacturing sites for production managers" provided by 'LOSSØ' has the following features: 【Features】 - Automatically collects cycle times when producing products. - Analyzes cycle times to quickly detect production anomalies. - Records and allows confirmation of the manufacturing site conditions before and after anomalies occur. As a result, production managers can gain the following benefits: - Quickly detect anomalies in the manufacturing site remotely and understand their impact on the plan. - Develop plans that take into account the conditions of the manufacturing site when considering production schedules. - Implement specific improvement measures based on footage from when problems occur. *For more details on the solution, please refer to the materials available for "PDF download."

Company：NTC
Price：Other

Surveillance Camera System
Other measurement, recording and measuring instruments
Anomaly Detection System

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The AI automatically analyzes the camera footage and detects anomalies.

AI detects anomalies in place of human eyes!

You can configure the detection targets and actions for each model. Additionally, when the AI detects an anomaly, it can stop specific machines via an interface converter or send images to remote locations through the cloud or email. It is also possible to use trigger mode to count the quantity of products. For more details, please contact us.

Company：システムズナカシマ岡山支店
Price：Other

Other security and surveillance systems
Anomaly Detection System

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AI-Plant Bamboo

AI that anyone can use

When using AI, costs arise from data preprocessing, acquiring programming skills, and gaining specialized knowledge. By packaging these costs together, we provide AI that anyone can use. Additionally, we offer consulting services on what types of data to use for AI and how to collect it. We welcome any inquiries about wanting to do something with AI, so please feel free to reach out.

Company：アビスト AIソリューション事業本部
Price：Other

Other information systems
Other operation management software
Anomaly Detection System

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Hamada-style AI Quality Standard

Starting tomorrow, it can be used on-site! Utilizing AI and RAG, we simultaneously implement two pillars: improving downstream operations and preventing issues upstream by leveraging skilled know-how.

Differences from Conventional Quality Management and DX: "Japan's First! Quality Management Using AI" Starting Point - Conventional ISO/TQM → Begins with the organization of documents and standards - IT Vendor-led DX → Begins with the introduction of systems - Hamada Method → Begins with the pain and tacit knowledge of the field Positioning of AI - Conventional ISO/TQM → Not applicable - IT Vendor-led DX → Objective - Hamada Method → Competent editor/search engine Handling of Tacit Knowledge - Conventional ISO/TQM → Left as individual knowledge - IT Vendor-led DX → Fragmented as data - Hamada Method → Integrated and utilized as organizational knowledge through RAG Human Resource Development - Conventional ISO/TQM → Dependent on OJT - IT Vendor-led DX → Only system operation training - Hamada Method → Gradually develop AI champions in 6 steps Prevention of Recurrence - Conventional ISO/TQM → Only documents corrective actions - IT Vendor-led DX → Data increases but is not utilized - Hamada Method → Past issues are returned to the next design as "living wisdom" Youtube: https://youtu.be/0eHTD1RvUYc

Company：高崎ものづくり技術研究所ゴウドウガイシャタカサキモノヅクリギジュツケンキュウショ
Price：Other

Technical Seminar
Anomaly Detection System

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Case studies of remote monitoring kits in cold storage facilities of food factories and manufacturing plants.

If the air conditioning stops in a place where room temperature and conditions are automatically managed, it will detect the anomaly and notify you by email!

The remote monitoring kit "REMO III" that we handle detects abnormalities in temperature and humidity and notifies maintenance personnel via email. In places where room temperature and humidity are automatically managed, if the air conditioning stops, dairy products and fresh seafood can spoil, leading to the growth of bacteria and viruses that cause food poisoning. Equipping important facilities with a system that can detect abnormalities in temperature and humidity management is essential for quickly identifying troubles, minimizing the impact on other manufacturing processes, and preventing the spoilage or damage of products. Additionally, it is also possible to detect abnormalities if a machine that is supposed to be stopped malfunctions. *For more details about the product, please download the PDF or feel free to contact us.

Company：TSエンジニアリング
Price：Other

Other security and surveillance systems
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Network Traffic Monitoring: Cyber Attack Countermeasure Case Studies

Utilizing action analysis algorithms to detect anomalies hidden within network traffic and identify signs of malicious behavior or breaches!

"Flowmon ADS" is a "network security tool" that uses artificial intelligence and machine learning to detect hard-to-find anomalies in network traffic. It complements traditional security tools and creates a multi-layered protection system that can detect threats at various stages of a breach. Additionally, it integrates with Suricata IDS running on Flowmon Probe to expand and enhance detection capabilities, providing additional context for behavior-based anomalies and incident detection. It also allows for the acquisition and storage of flow information such as NetFlow. We are also offering case studies and helpful materials (white papers) related to network security. 【Features】 ■ Multi-layered protection system that can detect threats at various stages of a breach ■ Expanded and enhanced detection capabilities ■ Provides additional context for behavior-based anomalies and incident detection *For more details, please refer to the PDF materials or feel free to contact us.

Company：プログレス・ソフトウェア・ジャパン
Price：Other

filtering
Anomaly Detection System

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Fuel Transfer Equipment Wide Area Temperature Abnormality Detection System

No explosion-proof measures required! We monitor equipment totaling several kilometers all at once.

In recent years, as the demand for renewable energy has increased, many biomass power plants have been constructed domestically. The larger the power generation capacity, the more fuel is required, and many power plants are now using long-distance conveyors for the transportation from transport ships to silos and from fuel storage. However, urban biomass power plants often operate with a small number of staff, and the burden of checking the condition of transportation equipment increases the wider the area covered. Our fiber optic monitoring system obtains temperature information from a single thin fiber optic cable installed throughout the transportation equipment, allowing for 24-hour constant monitoring in the control room. Our products are designed to detect signs of abnormalities before they occur. By detecting temperature anomalies before fires or smoke, they assist in addressing issues without having to stop the equipment. Additionally, because fiber optics are intrinsically safe, no special explosion-proof measures are required even in environments where dust may be present. Expanding the monitoring area is also easy, and many companies plan to implement it by expanding the range periodically.

Company：エヌケーシステム
Price：Other

Thermometer
Anomaly Detection System

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[MakinaRocks] MRX Robotics

AI solutions for industrial robots

<Quality Analysis of Robot Operations and Anomaly Prediction> Challenge: Unexpected failures occur more than 50 times each year in automotive assembly and painting production lines. Approach: Developed an anomaly detection model based on data from normal operations, while simultaneously obtaining insights for operational improvements. Created Value: Implemented in a total of 300 robots across two automotive production plants, achieving over 90% accuracy in failure prediction up to 5 days before a failure occurs. <Automation of Offline Programming (OLP)> Challenge: OLP is required every time a new car is launched, but it takes up to 6 weeks due to manual work by on-site engineers. Approach: Automated OLP by utilizing algorithms for verifying welding points and path planning based on inverse kinematics. Created Value: Fully automated the OLP process, reducing human resources by 50% and shortening the required time from 4-6 weeks to 3 days.

Company：大韓貿易投資振興公社(KOTRA)
Price：Other

Other industrial robots
Anomaly Detection System

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Toilet Abnormal Detection System Xeye

Skeleton analysis + artificial intelligence. Quickly detect sudden illnesses and abnormal behavior in the restroom.

In the event of a medical emergency, acts of vandalism, or prolonged stays, we quickly detect behaviors that differ from the norm and notify the administrator. Additionally, we have a feature that provides audio prompts inside restroom stalls, which can help deter criminal activities. Xeye contributes to "labor-saving" by reducing the frequency of patrol security and addressing labor shortages! <Features> 1: Contribution to Emergency Medical Care Enables rapid response in the event of a medical emergency, ensuring the safety and security of employees and customers. 2: Deterrence of Disruptive Behavior and Crime Quickly detects and notifies abnormal behaviors such as unauthorized use and disruptive actions. It is also expected to deter criminal activities. 3: Reducing the Burden of Patrol Security Displays usage status to alleviate the burden of patrol security, helping to resolve labor shortages and contributing to labor-saving. ● For more details, please contact us or refer to the catalog.

Company：三協エアテック大阪本社
Price：Other

Other security and surveillance systems
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Reduction of electricity costs for refrigeration and freezing equipment | Remote monitoring and anomaly detection system

Visualizing and improving the "wasted operation" of refrigeration and cooling equipment. We support energy conservation and equipment maintenance through power data.

Do you have any concerns about the electricity costs and operational status of your refrigeration and freezing equipment? - Electricity costs are rising, but I don't know which equipment is causing it. - I can only check the operational status of the freezer and showcase by going on-site. - I cannot grasp excessive operation or unnecessary power consumption. - I want to detect equipment abnormalities early. - I want to manage refrigeration equipment across multiple stores and locations collectively. This system aggregates data obtained from refrigeration and freezing equipment into the cloud, visualizing operational status and power usage. By understanding excessive operation and unnecessary power consumption, we support improvements aimed at energy conservation and reducing electricity costs. Additionally, early detection of equipment abnormalities can be utilized for preventing troubles and improving maintenance efficiency. 【Main Features】 ■ Remote monitoring of refrigeration and freezing equipment operational status ■ Visualization of excessive operation and unnecessary power consumption ■ Support for early detection of equipment abnormalities ■ Centralized management of multiple stores and locations in the cloud ■ Support for energy conservation and equipment maintenance improvement activities This can be utilized in environments managing multiple refrigeration and freezing equipment, such as supermarkets, food factories, drugstores, and frozen warehouses.

Company：ＭＩ
Price：Other

Power Monitoring Equipment
Other security and surveillance systems
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[Case Study of e-Wireless Patrol Implementation] Nippon Tokan Package Co., Ltd.

Avoiding damage to important components in advance! Introducing a case where 14 main units and 32 sub-units were implemented.

We would like to introduce a case study of the implementation of "e-Wireless Patrol" at Nippon Tokan Package Co., Ltd., which manufactures cardboard and paper containers. The company had previously installed the system at a location known as the miter gear, which had frequent malfunctions. After the implementation, the system was also installed in similar equipment at other factories, allowing for the detection of abnormalities and the prevention of damage to critical components in advance. 【Case Overview】 ■ Company Name: Nippon Tokan Package Co., Ltd. ■ Industry: Cardboard/Paper Containers/Others (Manufacturing) ■ Number of Installations: 14 main units / 32 sub-units *For more details, please refer to the PDF document or feel free to contact us.

Company：桜井営業推進企画部
Price：Other

Other security and surveillance systems
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[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Anomaly Detection -

The AI automatically analyzes the camera footage and detects anomalies.

【System Overview】 This is a system where AI detects anomalies on behalf of the human eye. It can be used on Windows and allows for a list view of images when anomalies are detected. It features a camera gain adjustment function and a trigger mode that can detect objects at regular intervals. (Collaborative development: Solekia Co., Ltd.)

Company：システムズナカシマ岡山支店
Price：Other

Image analysis software
Anomaly Detection System

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[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Anomaly Detection -

Anomaly detection using brightness gradient features with AI cameras.

**Purpose of System Development** In light of crimes such as shoplifting and car break-ins, we want to build a system that can detect suspicious behavior before it escalates into an incident. Additionally, we aim to apply this system not only for anomaly detection but also to enable concierges to quickly identify and respond to customers in distress. Co-development: Okayama Prefectural University, Faculty of Information Engineering, Image Information Engineering Laboratory

Company：システムズナカシマ岡山支店
Price：Other

Image analysis software
Anomaly Detection System

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Anomaly Detection System 'CFM'

Anomaly detection based on actual performance in the manufacturing site!

"CFM" is a system that visualizes the changes in clamping force of molding machines by attaching sensors to the tie bars. Additionally, it can analyze data from semi-automatic and fully automatic modes to detect abnormalities in the clamping device of the molding machine, molds, and products. This system is available for a free two-week trial with the "CFM Edge" set. *Please note that sensors and mounting bands must be purchased separately. 【Features】 ■ Data collection of clamping force is possible simply by attaching sensors to the tie bars. ■ Early detection of abnormalities through monitoring changes in clamping force. ■ Can be repurposed for various molding machines by swapping sensors. ■ Real-time logging data display for visualization of status. ■ Monitoring and analysis of clamping force data. *For more details, please refer to the PDF materials or feel free to contact us.

Company：アスカコネクト本社
Price：Other

Other core systems
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[Development Case] Development of an Anomaly Detection System in a Production Factory

Establishing an anomaly detection system in the production line of a food factory.

In 2018, we built an anomaly detection system for the production line of a food factory. In food production environments, the presence of impurities and unsanitary substances can become problematic. Therefore, a high recall inference system is required. From searching for appropriate models to implementation, training, and building the inference system, we researched suitable models and carried out their implementation, training, evaluation, and the construction of the inference system. To avoid existing patents, we developed a new model. Many companies are working on anomaly detection in this type of production line, and this time it was necessary to construct a new model that does not infringe on already filed patents. Thus, we conducted research at CVPR and ICCV and implemented a newly proposed type of anomaly detection model. *For more details, please refer to the related links or feel free to contact us.*

Company：ウェブファーマー
Price：Other

Other production management systems
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Ensuring worker safety at Coatt.

Achieving early detection of abnormalities! We can take appropriate measures to ensure safety.

"Coat" instantly catches sudden illnesses, injuries, and accidents, protecting workers with appropriate measures. Additionally, even if a worker has an accident, it can accurately determine their location and arrange for emergency transport remotely. Please feel free to contact us when needed. 【Overview】 ■Early detection of abnormalities ■Accurate location information obtained via GPS *For more details, please refer to the related links or feel free to contact us.

Company：ウツエバルブサービス
Price：Other

Other information systems
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A solution to drive the operation of CBM, which becomes a mere formality despite its high functionality.

A system that keeps an eye on all equipment. Building a condition-based maintenance (CBM) system that is not just about monitoring but is led by the field.

The abnormal sign detection system for production equipment, "SCOPE," is a device designed to monitor primarily vibrations and to establish an operational framework that allows the site to operate autonomously. No matter how high-performance a system is implemented, equipment without sensors cannot be monitored, leading to a contradiction in the field where there is a responsibility to manage everything but no means to keep an eye on it. Therefore, instead of a high-end system, we shifted our thinking towards mass installation to eliminate gaps in the field. We intentionally adopted inexpensive commercial sensors and proved the practicality of capturing "minor defects before abnormal sounds." By narrowing down the functions, we aimed to reduce costs and enable the site to autonomously operate from alert detection to proactive actions. 【Contents】 Chapter 1: Why was SCOPE created? Chapter 2: Why can abnormalities be detected with inexpensive sensors? Chapter 3: Why are MEMS vibration sensors sufficient? Chapter 4: How are abnormalities judged? Chapter 5: CBM cannot be established with monitoring alone. *For more details, you can view them immediately by downloading the catalog. Please feel free to contact us.

Company：江本技研
Price：Other

Other operation management software
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From Anomaly Detection to Prediction - AI for Preventing Equipment Troubles

A system for predicting abnormalities and its benefits that achieves preventive maintenance rather than reactive measures.

Factomate GUARD detects equipment troubles preventively rather than after the fact. AI analyzes sensor data to extract signs of abnormalities early. It can learn from normal data without the need for threshold settings. This reduces the risk of operational downtime and minimizes economic losses. For more details, please check the "Download Catalog" below.

Company：NEXTOPT
Price：Other

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【AirDia】Smartphone Monitoring Feature

A system that has achieved results in truck logistics! Introducing the anomaly detection process using Beacon.

"AirDia" is a system that uses factory automation (FA) technology. The abnormal detection process for the smartphone monitoring feature using "Beacon" includes: “Activation,” “Motion Detection,” “Beacon Detection,” and “GPS Detection.” The Beacon can transmit signals up to 300 meters at a low cost and does not require a power source (battery). Our company has established reliability through a combination analysis technology that excels in automotive technology. 【Abnormal Detection Process (Beacon)】 ■Activation ■Motion Detection ■Beacon Detection ■GPS Detection ■Notification *For more details, please refer to the PDF document or feel free to contact us.

Company：3Gサポート本社
Price：Other

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[Abnormal Sound Inspection Case] Onkyo

Quantifying abnormal sound inspections relying on the ears of skilled inspectors using smartphones and AI! A case study that achieved standardization of inspection quality.

We would like to introduce a case study on the quantification of abnormal sound inspection at Onkyo. Traditionally, subjective sensory inspections have relied solely on the experience of the inspectors, leading to challenges in skill transfer, sharing of judgment criteria, and standardization of inspection quality. By using a smartphone and microphone to collect and store operational sounds and abnormal noises from the products under inspection, we conducted analysis and abnormal sound judgment using AI. We established an abnormal sound judgment flow utilizing data from normal and abnormal sounds, and by combining sound data with the judgments of skilled inspectors, we built an inspection system that does not rely solely on the experience of the inspectors. The transition to data-driven inspections has achieved standardization of inspection quality and improved quality traceability. [Challenges] ■ Subjective sensory inspections relied on the ears of skilled inspectors. ■ There was a need to establish an inspection system that does not depend solely on the experience of the inspectors and to facilitate skill transfer. *For more details, please refer to the related links or feel free to contact us.

Company：オンキヨー
Price：Other

Other inspection equipment and devices
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[Engineering Audio AI Judgment Case] Onkyo Corporation

Automatic determination of work completion and abnormalities using 'engineering sound'! A case study on reducing defects in the production lines of precision equipment and home appliances.

We will introduce a case where automatic judgment of work completion and abnormalities was achieved through process sound analysis, leading to a reduction in defects. During the launch of mass production lines for new products and the transfer of production to overseas factories, variability in judgment and the occurrence of defects within the process were significant challenges. By implementing a system that analyzes sounds during the process using AI, we were able to utilize AI judgment for event sounds such as parts fitting and screw tightening completion as a mistake-proofing measure. This stabilized work quality, reduced variability in judgment, contributed to defect reduction, and improved work efficiency and quality on the production line through standardized rules. [Challenges] - Variability in judgment and occurrence of defects within the process - Promotion of standardization during the launch of mass production lines for new products and the transfer of production to overseas factories *For more details, please refer to the related links or feel free to contact us.

Company：オンキヨー
Price：Other

Other inspection equipment and devices
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Anomaly Detection System Product List and Ranking from 19 Manufacturers, Suppliers and Companies | IPROS GMS

Anomaly Detection System Manufacturer, Suppliers and Company Rankings

Anomaly Detection System Product ranking