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Detection System Product List and Ranking from 145 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Aug 05, 2026～Sep 01, 2026
This ranking is based on the number of page views on our site.

Detection System Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Aug 05, 2026～Sep 01, 2026
This ranking is based on the number of page views on our site.

  1. テクノアクセルネットワークス Tokyo//IT/Telecommunications
  2. 吉川工業 Fukuoka//Other manufacturing
  3. ミカサ商事　MIKASA SHOJI CO., LTD. Osaka//Trading company/Wholesale
  4. 4 太洋テクノレックス 本社　和歌山 Wakayama//Electronic Components and Semiconductors
  5. 5 null/null
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Detection System Product ranking

Last Updated： Aggregation Period:Aug 05, 2026～Sep 01, 2026
This ranking is based on the number of page views on our site.

  1. Radar-based Physical Condition and Emotion Estimation Evaluation System SDK テクノアクセルネットワークス
  2. AI detects stop sign violations! A stop solution to prevent accidents before they happen. ミカサ商事　MIKASA SHOJI CO., LTD.
  3. Liquid Leak Testing Device - A "new" solution to make liquid leaks visible. 太洋テクノレックス 本社　和歌山
  4. 4 Fuel Oil Leak Detection System - TraceTech TT5000
  5. 4 Warning for forgetting to hook the harness during high-altitude work! "Harness Alert" 吉川工業

Detection System Product List

271～291 item / All 291 items

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AI camera-based fall detection system for warehouses

AI camera-based fall detection system for warehouses

We will prevent falls during forklift operations before they occur.

In the warehouse industry, ensuring safety during forklift operations is crucial. Falling accidents can lead to injuries for workers and property damage, potentially causing interruptions in operations. An AI camera-based hazard detection system can detect falls in real-time from camera footage on-site, enabling swift responses. This helps reduce the risk of accidents and creates a safe working environment. 【Usage Scenarios】 - General warehouse areas - Forklift operation zones - Material delivery routes 【Benefits of Implementation】 - Early detection and response to falling accidents - Increased safety awareness among workers - Reduced risk of work-related injuries - Maintenance of work efficiency

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based fall detection system for mines

AI camera-based fall detection system for mines

We ensure safety in pit operations and prevent falls before they occur.

In underground mining operations, the safety of workers is the top priority. Falls in dark and unstable underground environments can lead not only to serious workplace accidents but also to work interruptions and a loss of corporate trust. An AI camera-based hazard detection system can detect falls in real-time from site camera footage, enabling rapid response. This helps reduce the risk of accidents and creates a safer working environment. 【Usage Scenarios】 - General underground work - Areas with poor footing - Material transport routes 【Benefits of Implementation】 - Early detection and response to fall accidents - Increased safety awareness among workers - Reduced risk of workplace accidents - Maintenance of work efficiency

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based fall detection system for forestry

AI camera-based fall detection system for forestry

Reduce the risk of falls at logging sites! Protecting the safety of workers.

In forestry logging sites, the safety of workers is the top priority. Working on uneven ground and at heights carries a risk of falls, which can lead to serious accidents. An AI camera-based fall detection system can detect falls in real-time from site footage, enabling prompt responses. This helps reduce the risk of accidents and creates a safer working environment. 【Usage Scenarios】 - General logging sites - High-altitude work areas - Poor footing locations 【Benefits of Implementation】 - Early detection and response to fall accidents - Increased safety awareness among workers - Reduced risk of work-related injuries

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI Camera Fall Detection System for Event Setup

AI Camera Fall Detection System for Event Setup

We detect the risk of falls during event setup with AI to ensure safety.

In the event industry, ensuring safety during setup is crucial. There is always a risk of falling accidents due to material transportation and working at heights. An AI camera-based fall detection system can detect falls in real-time from the camera footage on-site, enabling prompt responses. This helps reduce the risk of accidents and creates a safe working environment. 【Usage Scenarios】 - General event setup sites - Areas for high-altitude work - Material transportation routes 【Benefits of Implementation】 - Early detection and response to falling accidents - Increased safety awareness among workers - Reduced risk of work-related injuries

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based hazard detection system for forestry

AI camera-based hazard detection system for forestry

Prevent accidents caused by fallen trees with AI! We protect the safety of forestry.

In forestry, accidents caused by fallen trees are a significant issue. These accidents can lead to injuries for workers and interruptions in operations, resulting in losses for companies. An AI camera-based hazard detection system detects dangers in real-time from on-site camera footage, helping to prevent accidents before they occur. 【Use Cases】 - Prevention of contact with workers due to fallen trees - Detection of suspicious intrusions into work areas 【Benefits of Implementation】 - Reduction in the number of accidents - Improvement in workers' safety awareness - Strengthening of the company's safety management system

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based danger detection system for events

AI camera-based danger detection system for events

Ensure the safety of the event venue and prevent accidents caused by overcrowding.

In the event industry, accidents and troubles caused by crowds are a significant issue. Particularly at large-scale events, the risk of falls and collisions increases due to the concentration of attendees. An AI camera-based danger detection system can detect hazards in real-time from camera footage within the venue, preventing accidents before they occur. 【Usage Scenarios】 - Entrances and exits of event venues - Congested aisles - In front of the stage 【Benefits of Implementation】 - Reduction in the number of accidents - Ensuring the safety of attendees - Smoother event operations

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based danger detection system for airports

AI camera-based danger detection system for airports

Improving the safety of baggage management. AI detects dangers.

In airport baggage management, issues such as accidents in baggage handling and the oversight of suspicious items are challenges. These problems can lead to physical damage and delays, resulting in user dissatisfaction. An AI camera-based danger detection system detects hazards in real-time from on-site camera footage, supporting safe baggage management. 【Usage Scenarios】 - Detection of foreign objects on baggage conveyor belts - Prevention of falls in baggage sorting areas - Detection of unauthorized individuals entering restricted areas 【Benefits of Implementation】 - Reduction of accidents in baggage management - Improvement of security levels - Enhancement of operational efficiency

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI Camera-Based Danger Detection System for Care Facilities

AI Camera-Based Danger Detection System for Care Facilities

AI detects wandering and protects the safety of residents.

In care facilities, residents wandering can lead to accidents or going missing. Wandering increases the risk of falls and accidents, threatening the safety of residents. To prevent wandering, it is important to detect residents' behavior early and respond quickly. Our AI camera-based danger detection system has been developed to protect the safety of residents. 【Usage Scenarios】 - Detection of entry into designated areas 【Benefits of Implementation】 - Early detection of wandering - Reduction of accident risks - Improvement of resident safety

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based danger detection system for clinics

AI camera-based danger detection system for clinics

AI detects intrusions by suspicious individuals, ensuring the safety of the clinic.

In clinics, it is important to prevent the intrusion of suspicious individuals in order to protect the safety of patients and staff. The intrusion of suspicious individuals poses various risks, including harm to patients and staff, disruption of medical services, and loss of property. To mitigate these risks, it is essential to detect suspicious intrusions early and respond quickly. Our AI camera-based danger detection system has been developed to ensure the safety of clinics. 【Usage Scenarios】 - Detection of suspicious intrusions into the clinic - Monitoring for suspicious individuals during nighttime and holidays - Detection of suspicious behavior at the reception and waiting room 【Benefits of Implementation】 - Prevention of harm caused by suspicious individuals - Ensuring the safety of patients and staff - Increased awareness of crime prevention

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based danger detection system for dental clinics

AI camera-based danger detection system for dental clinics

AI detects suspicious individuals and protects the safety of dental clinics.

In dental clinics, the theft of valuable medical equipment and drugs can lead to significant losses. Theft can cause delays in treatment and affect patients, potentially undermining trust. To mitigate the risk of theft, it is crucial to detect the intrusion of suspicious individuals early and respond swiftly. Our AI camera-based danger detection system has been developed to ensure the safety of dental clinics. 【Usage Scenarios】 - Detection of suspicious intrusions into treatment rooms - Detection of suspicious intrusions into reception areas - Monitoring of the clinic during nights and holidays 【Benefits of Implementation】 - Early detection of theft risks - Reduction of damage caused by theft - Increased sense of security for staff and patients

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based hazard detection system for pharmacies

AI camera-based hazard detection system for pharmacies

AI detects fall risks and supports safe pharmacy operations.

In pharmacies, falls by visitors can lead to unexpected accidents. Falls can cause injuries and may also impact the operation of the pharmacy. To reduce the risk of falls, it is important to detect signs of potential falls early and respond quickly. Our AI camera-based hazard detection system has been developed to ensure the safety of visitors. 【Usage Scenarios】 - Monitoring the walking condition of visitors - Detecting unsteadiness when standing up - Immediate notification in the event of a fall 【Benefits of Implementation】 - Early detection of fall risks - Reduction in accidents due to falls - Improved safety for visitors

  • 50bb45bf-a7ea-414d-8a9e-3ef16286d2f1.png
  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based abnormal behavior detection system for animal hospitals

AI camera-based abnormal behavior detection system for animal hospitals

AI detects abnormal behavior in animals and supports early detection.

In animal hospitals, it is important to quickly detect abnormal behaviors of hospitalized animals and those in the waiting room and respond promptly. Early detection of abnormal behavior is essential for protecting the health of the animals and leading to appropriate treatment. Our AI camera-based danger detection system has been developed to ensure the safety and health of the animals. [Usage Scenarios] - Detection of abnormalities in hospitalized animals - Detection of fights or accidents in the waiting room - Recording of abnormal behaviors in the examination room [Benefits of Implementation] - Early detection of abnormal behavior - Ensuring the safety of the animals - Reducing the burden on veterinary staff

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based danger detection system for schools

AI camera-based danger detection system for schools

We will promote early detection of bullying and establish a safe school environment.

In schools, the problem of bullying is becoming more serious, and it is urgent to protect the safety of children and students. Bullying can have severe effects on both mental and physical health, leading to maladjustment in school life and, in the worst cases, even taking lives. To prevent bullying before it occurs and to detect it early, it is important to carefully observe the behavior of children and students and not to overlook any abnormal signs. Our AI camera-based danger detection system has been developed to contribute to solving the bullying problem in schools. 【Usage Scenarios】 - Monitoring suspicious behavior within the school - Detecting signs of bullying in specific locations - Understanding the situation during trouble occurrences 【Effects of Implementation】 - Early detection of bullying - Deterrent effect against bullying - Improvement of safety for children and students

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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AI camera-based danger detection system for daycare centers.

AI camera-based danger detection system for daycare centers.

AI detects the abandonment of preschool children and supports a safe childcare environment.

In daycare centers, leaving children behind can lead to serious accidents. In the event of a child being left behind, it not only threatens the child's safety but also results in a loss of trust from parents. To prevent such incidents, it is crucial to accurately monitor the entry and exit of children and respond swiftly. Our AI camera-based danger detection system has been developed to protect the safety of children. 【Usage Scenarios】 - Detection of children being left behind on school buses or during pick-up and drop-off - Detection of unauthorized intrusions into the daycare facility 【Benefits of Implementation】 - Prevention of leaving children behind - Improvement of children's safety

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  • EAI/ETL/WEB application server
  • Embedded applications for mobile phones and PDAs
  • Embedded system design service
  • Detection System

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Energy-saving compressors for automotive painting.

Energy-saving compressors for automotive painting.

Improve painting quality and reduce costs with temperature management of the compressor and measures against air leaks!

In the automotive painting industry, the stability of compressed air supplied by compressors is crucial for maintaining painting quality. Air leaks can negatively impact the finish of the paint and potentially increase energy costs. Energy-saving measures for compressors are essential for achieving both improved painting quality and cost reduction. SIRC proposes a method to detect air leaks based on the operating status of the compressor. 【Application Scenarios】 - Automotive painting booths - Compressor rooms - Areas where air leaks are occurring 【Benefits of Implementation】 - Improved painting quality - Reduced energy costs - Stable operation of compressors

  • Company：SIRC
  • Price：Other
  • Sensors
  • Detection System

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Easy retrofitting, no construction required, wireless rain leak detection system (NETIS)

Easy retrofitting, no construction required, wireless rain leak detection system (NETIS)

Automatic detection of water leaks, notification via email. Wireless monitoring is possible in basements, tunnels, and high-rise buildings, and the location of the leak can also be identified.

We would like to introduce our "Wireless Leak Detection System." This system can be used in various locations such as aging facilities, machine rooms, data centers, piping systems, under floors and ceilings, renovation work, and demolition work. ■ Features No construction or power supply is required, and leaks are automatically detected remotely. It can monitor a wide area of up to 20 km and is suitable for underground, tunnels, and high-rise buildings. Up to 100 sensors can be connected, accurately identifying leak locations. ■ Automatically Monitored Items Occurrence of rain leaks Detection of water leaks Confirmation of condensation Fluctuations in groundwater levels Signs of flooding ■ Advantages No power supply construction is needed, making on-site preparation easy. Simply install and turn on the switch to automatically start remote monitoring. Wireless connection eliminates the need for wiring work. ■ Benefits Reduces power supply construction costs. Lowers equipment installation costs. Reduces the hassle of inspection work, enabling efficient operation. ■ Usage Scenarios Automatic detection of leaks Efficient management through remote monitoring Streamlining inspection work and early detection of leaks This system is available for sale or rental. *For more details, please refer to the PDF document or feel free to contact us.

  • Other measurement, recording and measuring instruments
  • Detection System

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Water jet water leakage detection for water supply construction! Leak detection system.

Water jet water leakage detection for water supply construction! Leak detection system.

No construction or power supply needed for easy installation; NETIS registered product that can also detect leak locations.

Introducing our "Wireless Leak Monitoring System." ■ Features No construction required, automatically detects leaks remotely. Capable of monitoring areas up to 20 km, suitable for underground spaces, tunnels, and high-rise buildings. Can connect up to 100 sensors, making it easy to identify leak locations. ■ Monitoring Capabilities Rainwater intrusion Detection of water leaks Condensation detection Groundwater level fluctuations Understanding flooding situations ■ System Characteristics No power installation required, allowing for easy setup on-site. Automatic remote monitoring starts simply by turning on the switch. Reduces wiring hassle with wireless communication. ■ Advantages Cost reduction for power installation. Lower installation costs. Reduces inspection burden and is expected to improve work efficiency. ■ Use Cases Automatic monitoring of leaks. Remote management of sites. Reduced inspection burden and early leak detection. This system is available for sale or rental. *For more details, please refer to the PDF materials or feel free to contact us. #2

  • Other measurement, recording and measuring instruments
  • Detection System

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Image processing system for damage detection and defective product detection [Measurement system development case study]

Image processing system for damage detection and defective product detection [Measurement system development case study]

A case where the required details were interviewed and proposed in a bamboo, pine, and plum format!

We would like to introduce a case where we proposed an image processing system for scratch detection and defective product detection to a manufacturing company. The company expressed a desire to improve their current capability of detecting scratches with a width of 10μm to a high precision of 5μm. We conducted an interview to gather the detailed requirements and made our proposal in a "Matsu-Take-Ume" format. In response to our proposal, they praised the ability to select the cost in relation to their requirements, and they are currently considering which system to proceed with, taking cost-effectiveness into account. 【Case Overview】 ■ Request: Is it possible to improve the detection width to 5μm? ■ Proposal: - Ume System: Providing area scan + image processing using the current jig - Take System: Providing the Ume system including the jig - Matsu System: Providing a high-speed line scan + image processing system ■ Result: Currently under consideration with cost-effectiveness in mind *For more details, please refer to the PDF document or feel free to contact us.

  • Defect Inspection Equipment
  • Detection System

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Post-installable! Visualizing safety harness usage! Harness Notify.

Post-installable! Visualizing safety harness usage! Harness Notify.

Optimal tool for visualizing safety belt usage!

※Visualization of safety harness usage ⇒ Habit formation ⇒ Prevention of fall accidents A wireless switch that can be retrofitted to existing safety harnesses detects the usage status! When it detects that the hook is not in use, it alerts the user and simultaneously sends data to the cloud, enabling remote monitoring by administrators. Usage logs are recorded in one-minute intervals. Workers receive audio and visual alerts by attaching a wireless receiver to their helmets. **The areas and ranges where alarms are needed can be set with area sensors! By combining multiple area sensors, it is possible to set up complex alarm locations. The rotary switch of the area sensor allows for the setting of alarm ranges. ***History management via PC or smartphone (optional) is also possible! It is possible to manage the usage status of the harness notify system via PC or smartphone. Data can be collected from the history. Safety education can be conducted for workers not using harnesses in hazardous areas.

  • Company：Ronk
  • Price：Other
  • Other safety equipment
  • Other safety and hygiene products
  • Detection System

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[For Financial Institutions] SLM/LLM Fraud Detection System

[For Financial Institutions] SLM/LLM Fraud Detection System

Combining SLM and LLM to quickly detect fraud in financial transactions!

In the financial industry, advanced fraud detection systems are required to minimize losses from fraudulent transactions. In particular, the ability to detect anomalies in real-time is crucial to address increasingly sophisticated fraud and money laundering tactics. Cases that are difficult to handle with traditional rule-based systems can be quickly identified for new fraud patterns by our SLM/LLM emphasis system, which learns from past data. 【Use Cases】 - Fraud detection in financial transactions - Measures against money laundering - Risk assessment in credit screening 【Benefits of Implementation】 - Reduction in losses from fraudulent transactions - Improvement in fraud detection accuracy - Cost reduction through increased operational efficiency

  • Other information systems
  • Detection System

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