We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Surveillance Solutions.
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Surveillance Solutions Product List and Ranking from 28 Manufacturers, Suppliers and Companies

Last Updated: Aggregation Period:Sep 17, 2025~Oct 14, 2025
This ranking is based on the number of page views on our site.

Surveillance Solutions Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 17, 2025~Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. THK 本社 Tokyo//Machine elements and parts
  2. ユーピーアール Tokyo//Service Industry
  3. 轟産業 Fukui//Trading company/Wholesale
  4. 4 日本ベーカーヒューズ株式会社&ベーカーヒューズ・エナジージャパン株式会社  (旧)GEセンシング&インスペクション・テクノロジーズ株式会社 & GEエナジー・ジャパン株式会社 Tokyo//Testing, Analysis and Measurement
  5. 5 アイ・ビー・エス・ジャパン Kanagawa//IT/Telecommunications

Surveillance Solutions Product ranking

Last Updated: Aggregation Period:Sep 17, 2025~Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. "Detection of abnormalities in cutting tools" Tool monitoring AI solution THK 本社
  2. IoT remote monitoring solution "Mie-eru-do" for measuring and managing temperature and humidity. ユーピーアール
  3. Transformer monitoring solution 'Hydran M2-X' 轟産業
  4. AI Solution for Tool Monitoring in Electronic Devices THK 本社
  5. Catalog of Case Studies on Robust IP Surveillance Solutions アイ・ビー・エス・ジャパン

Surveillance Solutions Product List

31~45 item / All 46 items

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[Cyber Attack Countermeasure Case] Balmain

99.9% IT system reliability achieved! Case study on measures against cyber attacks that enable significant monthly savings released.

As a measure against cyber attacks, we would like to introduce a case where Balmain implemented a virtual LoadMaster. The company faced issues due to the capacity shortage of their existing load balancing solution, which led to performance degradation and the inability to integrate customer application assets. The IT department began the implementation of this product, allowing them to consolidate six servers and control them from a single location. [Case Overview] ■Challenges - Due to insufficient cloud capacity, the existing load balancing solution could not address the issues at that time. ■Results - It became easier to check the performance of servers and data centers. - The cost of application delivery was reduced to 20% of the previous solution. *For more details, please refer to the PDF document or feel free to contact us.

  • Other operation management software

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[Information] iNetSec FC Solution Comparison Summary

Introducing the summary! We provide comparative information on solutions implemented in factories.

This document provides comparative information on the solutions implemented in factories. There are no products with the same concept as 'iNetSec FC' (which enables visualization of devices and networks without requiring advanced IT skills, thus facilitating the prevention and rapid response to troubles). Please use this as reference information to understand what solutions exist and what features they have, rather than for the purpose of gathering competitive information. Additionally, we have prepared a detailed comparison table comparing representative products of each solution. If you are interested, please feel free to contact us. *For more details, please refer to the PDF document or feel free to reach out to us.

  • Other information systems
  • Other security and surveillance systems

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Power Integration Monitoring Solution

Power monitoring and optimization, and beyond that, CO2 emissions management.

Integrated power monitoring (including EV charging, solar power, battery operation, and peak cut systems involving purchases from power companies), * Community battery in Australia (2015) * Large-scale integrated energy management project in Taiwan (2021)

  • Integrated operation management
  • Power Monitoring Equipment

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Pond Monitoring Solution (Remote Water Level Monitoring System for Ponds)

A system specialized in "pond monitoring" for disaster prevention priority ponds, featuring robust cloud-based remote monitoring. Customization by our engineers is available.

This is a system developed in-house to monitor "farm ponds and rivers." It monitors the conditions of farm ponds and rivers located remotely, regardless of the device used, such as PCs, tablets, or smartphones, and sends alert notifications via email when the set danger water level, lower limit, or other configured values are reached. The cloud system utilizes AWS, which is also adopted for the cloudification of national administrative systems. It ensures thorough data storage and security measures. We pursued convenience with a user interface developed in-house. API integration is also possible. 【Features】 ★ A dashboard that is easy to understand at a glance, displaying installation locations and data on one screen. ★ Displays battery status, equipped with battery capacity check and remaining battery notification functions. ★ Email recipients can be set and changed by the customer (up to 8 locations). ★ Supports a master-slave system using Private LoRa (only water level without images). *For more details, please contact us via the IPROS inquiry form or by phone. *Mentioning "I saw it on IPROS" will make the explanation smoother. Phone: 088-665-6366 (Contact: Onoe) External inquiry form: https://www.densin.co.jp/contact/

  • Surveillance Camera System

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Drainage Monitoring Solution

Reform work styles with DX! Easy drainage management via smartphone without going to the site.

Our company offers a "Water Quality Monitoring System Solution" that allows you to check real-time data from anywhere, whether it's from office PCs or smartphones. We connect various automatic measuring devices from different manufacturers with our specially developed data loggers to carry out data collection. Additionally, we automatically calculate the pollution load of wastewater and generate daily/monthly reports, saving you time and effort. 【Features】 ■ Remote data monitoring ■ Multi-vendor support with dedicated data loggers ■ Automatic creation of data processing and report formats *For more details, please download the PDF or feel free to contact us.

  • Water quality testing

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[Brochure] Monitoring Solutions

Storage, memory, and cloud solutions for the surveillance market.

*For more details, please refer to the PDF document or feel free to contact us.* Modern surveillance has come a long way from the era of analog surveillance systems. The digitalization and IoT have accelerated the growing demand to improve the throughput, retention, and acquisition of surveillance data at the edge. For these reasons, it is important to effectively manage all related devices. However, we must not forget the fundamental requirement of surveillance, which is the stability of data recording. Smart cities represent another rapidly growing market for IoT surveillance. Cameras can be used not only for basic security measures but also for traffic flow systems, facial recognition, and emergency prevention.

  • Software (middle, driver, security, etc.)

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Factory facility and equipment monitoring solution

Easily IoT-enable PLC equipment! Abnormality detection, energy management, and management of human flow, etc.

The "Factory Facility and Equipment Monitoring Solution" is an IoT solution aimed at improving work efficiency and productivity in factories. It enables easy IoT implementation of existing PLC equipment within the factory using our "IoT Fit One." With centralized management of abnormal detection, energy management, and personnel flow management, you can quickly experience the benefits of IoT. 【Features】 ■ Easy IoT implementation with "IoT Fit One" ■ Centralized management of abnormal detection, energy management, and personnel flow management ■ Quickly experience the benefits of IoT *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems

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Efficiency improvement of monitoring operations through IoT! Features and solutions for remote monitoring.

Introduction to IoT solutions that lead to a reduction in the burden of monitoring operations.

In manufacturing sites, there are tasks related to monitoring whether equipment and machinery are operating normally. When conducting monitoring tasks on-site, the burden of work increases as the number of devices and the scale of the factory grow. There may be companies facing challenges with monitoring tasks, such as "not having enough manpower" or "having too many inspection points that take time." This article introduces what can be achieved through remote monitoring using IoT, as well as IoT solutions that can help reduce the burden of monitoring tasks. *For more details, you can view the related links. Please feel free to contact us for more information.*

  • Other information systems

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Aerospace Tool Monitoring AI Solution

Solve tool exchange losses and defects/rework losses with AI!

In the aerospace industry, precision machining faces significant challenges such as the occurrence of defective products due to tool abnormalities and losses from tool changes. The "Tool Monitoring AI Solution" is a groundbreaking solution that utilizes AI to detect tool abnormalities early, addressing these issues. 【Usage Scenarios】 * Precision machining of aircraft parts * Manufacturing of rocket components * Manufacturing of satellite components * Production delays due to tool change losses * Increased costs due to the occurrence of defective products * Strengthening monitoring systems due to personnel shortages 【Benefits of Implementation】 * Increased productivity by reducing tool change losses * Improved quality by suppressing the rate of defective products * Enhanced efficiency by resolving personnel shortages * Planned tool changes through anomaly detection * Cost reduction through improved operational rates

  • lathe

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Tool Monitoring AI Solution for Medical Devices

Solve tool exchange losses and defects/rework losses with AI! Achieve improved accuracy.

In the manufacturing of medical devices, the occurrence of defective products due to abnormalities in cutting tools and the loss from tool changes are significant challenges that greatly affect product quality and production efficiency. This product supports the stable production of high-precision medical devices by utilizing AI to detect tool abnormalities early and solve these issues. 【Usage Scenarios】 * Cutting process in the manufacturing of medical devices * Occurrence of defective products due to tool abnormalities * Decrease in production efficiency due to tool change losses * Quality control in unmanned processing at night 【Benefits of Implementation】 * Cost reduction through the reduction of tool change losses and defects/rework losses * Increased customer satisfaction due to improved product quality * Shortened delivery times due to enhanced production efficiency * Strengthened quality control in unmanned processing at night

  • lathe

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Efficiency of monitoring operations through IoT! Features and solutions of remote monitoring.

Remote monitoring using IoT! Introducing IoT solutions that lead to a reduction in the burden of monitoring tasks.

In manufacturing sites, there are tasks that involve monitoring whether equipment and machinery are operating normally. When these monitoring tasks are carried out on-site, the burden of the work increases as the number of equipment and the scale of the factory grow. To alleviate the burden of monitoring tasks, one solution is to implement monitoring systems and IoT devices to remotely monitor the equipment and machinery within the factory. This article introduces what can be achieved through remote monitoring using IoT, as well as IoT solutions that can help reduce the burden of monitoring tasks. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

  • Other security and surveillance systems

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"Detection of abnormalities in cutting tools" Tool monitoring AI solution

For cutting tools like drills and chips! Would you like to solve tool change losses and defects/rework losses with "evolving AI"?

The tool monitoring AI solution is part of THK's IoT service "OMNIedge." 【Do you have any of these issues regarding cutting tools?】 - Want to reduce costs by reviewing tool life based on quantity - Defects due to breakage or chipping, resulting in rework losses - A mountain of defective products from unmanned processing at night... We will solve these challenges. 【Features】 ■ Easy installation of retrofitted sensors Sensing is done by clamping a CT to the motor cable, making installation simple. ■ No need for threshold or parameter settings There is no need for complicated settings with a configuration tool. You can start collecting data immediately from the day of installation. ■ AI diagnoses and detects anomalies. Learning improves accuracy With automatic analysis by AI, anomaly detection is based on data, eliminating the need for thresholds. If you are interested in more details, please feel free to download the PDF or contact us.

  • 工具AIパネル.jpg
  • lathe

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Automotive Tool Monitoring AI Solution

Solve tool exchange losses and defects/rework losses with AI!

In the cutting process of automobile manufacturing, the loss due to tool wear and breakage, as well as the loss from rework due to defective products, are significant challenges. This product is a solution that utilizes AI to monitor the condition of tools, addressing these issues and achieving improvements in production efficiency and cost reduction. 【Usage Scenarios】 * Cutting of automotive parts: Decreased machining accuracy due to tool wear and the occurrence of defective products due to breakage. * Unmanned processing at night: Oversights in checking tool conditions due to the absence of personnel, leading to defective products. * Low-volume, high-variety production: High frequency of tool changes makes management difficult. 【Benefits of Implementation】 * Reduction of tool replacement loss: By predicting the timing of tool replacements, unnecessary changes can be minimized, resulting in cost savings. * Prevention of defective products: Monitoring the condition of tools helps prevent the occurrence of defective products in advance, contributing to quality improvement. * Improvement of production efficiency: Reducing time lost due to tool changes and defective products enhances production efficiency. * Alleviation of labor shortages: Relying on AI for tool monitoring can also help address labor shortages.

  • lathe

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Tool Monitoring AI Solution for Machining

Solve tool exchange losses and defective/rework losses with AI! Achieve improved operational efficiency.

This is an AI solution that detects abnormalities in cutting tools early, suppressing tool change losses and the occurrence of defective products, thereby improving the operating rate of machining processes. 【Usage Scenarios】 * Abnormality detection of tools in machining environments * Decreased production efficiency due to tool change losses and defective product occurrences * Concerns about quality control in unmanned night-time machining * Cost reduction through tool life prediction 【Benefits of Implementation】 * Significant cost reduction due to the reduction of tool change losses and defective/rework losses * Increased productivity due to improved operating rates * Enhanced customer satisfaction through stabilized quality * Improved safety in unmanned night-time machining

  • lathe

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Tool Monitoring AI Solution for Semiconductors

Solve tool exchange losses and defective/rework losses with AI! Achieve cost reduction with easy implementation.

Abnormal detection of cutting tools in semiconductor manufacturing significantly impacts product quality and production efficiency. The occurrence of defective products due to tool wear or damage, as well as downtime caused by tool replacement, results in serious cost burdens. This product utilizes AI to monitor the condition of tools in real-time and detect abnormalities early, addressing these challenges. 【Application Scenarios】 * Semiconductor manufacturing sites: Occurrence of defective products due to tool wear or damage, downtime due to tool replacement, quality control in unmanned processing at night. * Challenges: Difficulty in predicting tool life, occurrence of defective products due to delays in abnormal detection, production stoppage due to tool replacement, burden of manual monitoring. 【Effects of Implementation】 * Reduction of defective product occurrence: By detecting tool abnormalities early, it helps suppress the occurrence of defective products and contributes to improved product quality. * Reduction of tool replacement loss: By predicting tool life and replacing tools at optimal timing, it reduces unnecessary replacements and achieves cost savings. * Improvement of production efficiency: Reduces downtime and enhances production efficiency. * Resolution of labor shortages: By automating monitoring tasks that relied on manual labor, it contributes to alleviating labor shortages.

  • lathe

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