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A communication tool in the form of an intercom that can be used immediately without the need for a base unit or the internet. Lightweight communication devices connect in a mesh pattern, enabling multiple people to have simultaneous conversations over long distances. By connecting people, it contributes to improving efficiency and safety at work sites. 【Features】 1. Easy to set up This product does not require a base unit or the internet, so no setup or terminals are needed, allowing you to start using the intercom easily. 2. Lightweight and compact Compared to traditional radios, its lightweight and compact design reduces the burden on workers and provides a comfortable wearing experience. 3. Unlimited number of participants Thanks to open mesh technology, there is no limit to the number of participants in communication, allowing for simultaneous conversations among multiple people over long distances.
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A remote support solution for the field that integrates wearable cameras and web conferencing systems. (Distributor: Tanizawa Manufacturing Co., Ltd.) Real-time sharing of the perspective video from field workers wearing lightweight, compact wearable cameras and headsets mounted on helmets with office managers. This facilitates smooth communication between the field and the office, significantly reduces travel time and costs, and improves operational efficiency and safety. 【Features】 1. Easy operation like a smartphone Intuitive operation through a touch panel makes it easy for anyone to use. 2. Compatible with familiar web conferencing systems Direct connection to your usual web conferencing system. 3. Hands-free and safe broadcasting The combination of a wearable camera and headset mounted on the helmet keeps both hands free, allowing for safe broadcasting even while working. Conversations can be held while sharing camera footage with office staff.
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In the financial industry, it is important to accurately assess customer credit risk and market risk in order to make appropriate management decisions. Especially in today's rapidly changing environment, quick and precise risk assessment is required. AI Connect supports financial institutions in streamlining their risk assessment operations. 【Use Cases】 * Customer credit risk assessment in loan screening * Market risk analysis in investment decisions * Information gathering related to compliance 【Benefits of Implementation】 * Reduction in time and costs associated with risk assessment * Improvement in assessment accuracy * Realization of swift decision-making
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In quality management within the manufacturing industry, maintaining and improving product quality and reducing defective products are important challenges. In particular, quality management systems that rely on individual expertise tend to cause issues such as knowledge dispersion due to personnel transfers or retirements, and variations in quality standards. AI Connect addresses these challenges by providing information through customer-specific AI and utilizing internal data to support the efficiency of quality management operations and enhance quality. 【Use Cases】 - Responding to inquiries related to quality management - Confirming quality standards and inspection procedures - Searching for information on past quality issues 【Benefits of Implementation】 - Increased efficiency for quality management personnel - Standardization of knowledge related to quality - Reduction in the rate of defective products
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Standardization is not just about establishing work procedures; it is a strategic approach that involves reviewing the entire business process to eliminate waste and establish optimal methods. Furthermore, advancing standardization and modularization, along with cost reduction and quality yield improvement as a cohesive effort, becomes a strategic initiative that goes beyond mere efficiency. To achieve this, we will proceed with five specific steps. This will help you understand the mechanism of the "integrated strategy" that reduces costs while enhancing quality, revealing ways to promote sustainable growth and competitiveness for the entire company, rather than just simple business improvements.
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This solution is an integrated DX solution that combines equipment maintenance management systems with generative AI support for utilizing maintenance know-how, optimizing maintenance operations in manufacturing sites and maintenance departments from a manager's perspective. It centralizes daily preventive maintenance plans, work performance, and response history during unexpected failures, making maintenance activities "visible." By analyzing and utilizing accumulated maintenance records with generative AI, it assists in searching for similar troubles, estimating causes, and suggesting recovery procedures. Additionally, the input support function in a dialogue format helps suppress record omissions and variations in content. This enhances the quality of maintenance records and allows know-how, which tends to become personalized, to be accumulated as an organizational asset. 【Features】 - Centralization of records and management for preventive and emergency maintenance - Decision support and reduction of recovery time through AI utilization - Standardization of maintenance operations and efficiency in personnel training - Visualization of maintenance status that is easy for managers to understand
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A platform that achieves high reliability and flexibility without depending on the licensing system of a specific vendor, designed for open-source virtual infrastructure. 【Features】 1. Significantly reduced annual subscription costs An annual subscription based on "CPU units" for servers makes future cost forecasting and budget planning easy. It is based on open-source technology, unaffected by external factors such as changes in the strategies of specific vendors. 2. Utilization of existing assets and flexible scalability By leveraging existing assets (servers, shared storage), unnecessary investments are avoided. It allows for expansion on a server-by-server and storage unit basis, enabling flexible scaling according to needs. 3. A highly flexible IT infrastructure that is vendor-independent Without being constrained by the products or policies of specific companies, you can freely choose the most suitable technology for your organization at all times. 4. Enhanced high availability with stable operation even during degradation A three-node HA cluster is achieved as a standard feature, ensuring stable operation continues without performance degradation even if one node fails.
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In the telecommunications network industry, stable operation 24/7 is required, and system downtime due to ransomware can lead to significant damage. In particular, network infrastructure is vulnerable to external attacks, making security measures essential. Tack SecurePlatform supports the safe operation of telecommunications networks through secure VPN management, zero-trust security, and data backup. 【Use Cases】 - Telecommunications operators - Data centers - Network service providers 【Benefits of Implementation】 - Reduced risk of ransomware infection - Shortened system downtime - Improved business continuity
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In the transportation industry, operation management systems handle important data such as operational status and customer information. System downtime due to ransomware infection can lead to business delays and impact customers, potentially damaging the company's trust. In particular, operation management systems tend to be more vulnerable to ransomware attacks due to frequent external access. Tack SecurePlatform protects operation management systems from ransomware threats and supports safe business operations. 【Use Cases】 - Data protection for operation management systems - Strengthening the security of vehicle location information and operational data - Prevention of customer information leaks 【Benefits of Implementation】 - Reduction of the risk of system downtime due to ransomware infection - Decrease in the risk of damage from information leaks - Establishment of a safe operation management system
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In the IT industry, there is always a risk of information leakage and system downtime due to unauthorized access to systems and malware infections. In particular, ransomware attacks that exploit vulnerabilities pose a serious threat to business continuity. Tack SecurePlatform provides robust defense against ransomware threats through three layers: "preventing intrusion," "preventing outbreaks," and "protecting data." By enhancing VPN security, suppressing outbreaks with zero-trust security "AppGuard," and establishing a recovery system through data backups, it increases the safety of IT systems. [Use Cases] - Corporate information systems departments - Website operating companies - System development companies - Cloud service providers [Implementation Effects] - Reduced risk of ransomware infections - Mitigated risk of information leakage - Shortened system downtime - Improved business continuity
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In the energy industry, equipment maintenance is essential for the stable operation of systems. System downtime due to ransomware can lead to equipment shutdowns and, consequently, interruptions in power supply. Particularly, with the increase in remote maintenance, the risk of ransomware infections exploiting vulnerabilities such as those in VPNs is rising. Tack SecurePlatform protects systems from ransomware threats through multi-layered defense, supporting stable operations. 【Use Cases】 - Equipment such as power plants, substations, and transmission lines - Remote monitoring systems and control systems - Strengthening the security of equipment maintenance systems 【Benefits of Implementation】 - Reduced risk of system downtime due to ransomware infections - Achieving stable operation of equipment - Improved business continuity
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In manufacturing operation monitoring systems, stable operation 24/7, 365 days a year, is essential. System downtime due to ransomware infections can have serious impacts on business continuity, including production line stoppages, data loss, and increased recovery costs. Particularly in environments with frequent remote maintenance and connections to external networks, the risk of ransomware increases. Tack SecurePlatform protects manufacturing system environments with multi-layered defenses, safeguarding critical data from ransomware threats. 【Use Cases】 - Production equipment operation monitoring systems - Manufacturing line control systems - Quality control systems 【Benefits of Implementation】 - Avoidance of production losses due to system downtime - Reduction in time and costs associated with data recovery - Improvement in business continuity
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In the logistics industry, ensuring the safety of workers and improving operational efficiency are important challenges. Particularly in environments where there is a high risk of contact accidents, such as the movement of forklifts and trucks, and loading and unloading of goods, safety measures are essential. SafetyGate detects unsafe behaviors on-site using AI cameras, reducing the risk of accidents. 【Usage Scenarios】 * Preventing contact between forklifts and pedestrians in warehouses * Ensuring safety during loading and unloading of trucks * Ensuring workers consistently wear protective gear 【Benefits of Implementation】 * Reducing the risk of labor accidents * Strengthening safety management systems * Enhancing workers' safety awareness
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In the infrastructure industry, ensuring the safety of workers is the top priority. There is a need for the efficiency of inspection work and the reliable confirmation of the wearing of protective gear. Particularly in sites involving high-altitude work or handling hazardous materials, deficiencies in protective gear can lead to serious accidents. SafetyGate enhances site safety through AI cameras that check the wearing of protective gear and manage entry and exit. 【Usage Scenarios】 - Construction sites - Plants - Maintenance and inspection work 【Benefits of Implementation】 - Prevention of missed protective gear usage - Safety management of workers through entry and exit records - Increased efficiency of inspection tasks
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In the infrastructure industry, it is crucial to detect unauthorized entry and trespassing early in order to prevent accidents and crimes in facility safety management. Particularly, monitoring in hard-to-see locations and at night requires advanced security measures. SafetyGate protects the safety of infrastructure facilities through real-time monitoring and automatic notifications using AI cameras. 【Usage Scenarios】 * Critical infrastructure facilities (power plants, substations, water treatment plants, etc.) * Construction sites * Material storage areas 【Benefits of Implementation】 * Early detection of suspicious intrusions to prevent accidents and crimes * Establishment of a 24/7 monitoring system to enhance safety management * Reduction of personnel costs and realization of efficient security operations
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In the food industry, foreign object contamination is a serious issue that undermines corporate trust. Inadequate protective gear for employees increases the risk of foreign object contamination. SafetyGate ensures the thorough use of protective gear before work, reducing the risk of foreign object contamination. 【Usage Scenarios】 - Manufacturing lines in food factories - Strengthening measures against foreign object contamination - Protective gear checks during entry and exit 【Benefits of Implementation】 - Reduction of foreign object contamination risk - Improvement of safety awareness - Streamlining of record management
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In the energy industry, ensuring the safety of workers is the top priority in minimizing the risk of electric shock accidents. Especially in hazardous environments such as high-voltage equipment and transmission lines, the proper use of protective gear is essential. Failure to wear protective gear can lead to serious accidents, jeopardizing not only the lives of workers but also the trust of the company. SafetyGate enhances on-site safety management through AI camera checks for protective gear and access control, reducing the risk of electric shock accidents. 【Usage Scenarios】 - Power plants, substations, transmission line construction sites - Electrical work, maintenance and inspection tasks - High-altitude work 【Benefits of Implementation】 - Prevention of electric shock accidents through strict adherence to protective gear usage - Increased safety awareness among workers - Strengthened safety management of workers through access records
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In the manufacturing industry, ensuring the safety of workers and maintaining quality are essential. In particular, the proper use of safety equipment such as helmets, protective gear, and harnesses on the manufacturing floor contributes to accident prevention and the stability of product quality. The failure to wear protective gear increases the risk of serious accidents and quality issues. SafetyGate enhances on-site safety management and contributes to quality improvement through self-inspection of protective gear usage and management of entry and exit records using AI cameras. 【Usage Scenarios】 - Management of entry and exit to the manufacturing site - Inspection of workers' protective gear usage - Compliance with safety equipment wearing rules 【Benefits of Implementation】 - Increased safety awareness - Reduced accident risks - Improved efficiency in record management
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In the chemical plant industry, ensuring that workers wear safety protective equipment is essential to minimize the risk of hazardous substance leaks. Especially in emergency response situations, the prompt and accurate use of protective gear is required. Improper use of protective equipment can lead to health hazards for workers and potential shutdowns of plant operations. SafetyGate enhances safety management through the use of AI cameras for checking protective gear usage and managing entry and exit. 【Usage Scenarios】 - Entry and exit gates of chemical plants - Emergency response areas - Work sites where protective gear is mandatory 【Benefits of Implementation】 - Improved safety through strict adherence to protective gear usage - Enhanced safety management of workers through entry and exit records - Risk reduction in the event of a leak
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In the construction industry, ensuring the safety of workers is the top priority. Accidents at construction sites can lead not only to personal injuries but also to delays in project timelines and a loss of trust in the company. Particularly in construction sites where there are many hazardous tasks such as working at heights or operating heavy machinery, the proper use of protective gear is essential. However, the wearing of protective gear is often not enforced on-site, leading to cases that result in accidents. SafetyGate enhances safety management at construction sites through self-inspection of protective gear usage and management of entry and exit records using AI cameras. 【Usage Scenarios】 - Management of entry and exit at construction sites - Inspection of protective gear usage before work - Confirmation of wearing helmets, protective gear, harnesses, etc. 【Benefits of Implementation】 - Increased safety awareness - Reduced risk of accidents - Improved efficiency in record management
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In the energy industry, working at heights always carries the risk of labor accidents such as falls and drops. Not wearing safety harnesses or working in improper postures can lead to serious accidents. SafetyGate detects unsafe behaviors of workers using AI cameras and immediately notifies them to prevent dangerous situations before they occur. 【Usage Scenarios】 - Transmission line inspection work - Maintenance of wind power generation facilities - High-altitude work on plant equipment 【Benefits of Implementation】 - Increased safety awareness in high-altitude work - Reduced risk of labor accidents - Ensured safety for workers
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In the chemical industry, it is important to minimize the risk of chemical leaks within plants. In particular, unsafe behaviors such as not wearing protective gear and entering hazardous areas can increase the risk of leak incidents. SafetyGate detects unsafe behaviors on-site in real-time using AI cameras, ensuring the safety of workers. 【Usage Scenarios】 - Plants handling chemical substances - Work in hazardous areas - Locations where protective gear is required 【Benefits of Implementation】 - Reduced risk of leak incidents - Increased safety awareness among workers - Minimization of damage through prompt response
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In the manufacturing industry, accidents involving being caught in machinery can lead to serious workplace injuries. To protect the safety of workers, it is important to detect dangerous behaviors in real-time and raise awareness. SafetyGate is a cloud service that uses AI cameras to detect unsafe behaviors of workers and prevent accidents before they happen. 【Use Cases】 - Areas around machines with a high risk of being caught, such as presses and molding machines - Detection of workers not wearing protective gear or adopting improper working postures - Prevention of unauthorized entry into restricted areas 【Benefits of Implementation】 - Reduces the risk of being caught in accidents and prevents workplace injuries - Enhances workers' safety awareness - Reduces the burden on safety managers
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In the construction industry, ensuring the safety of workers is the top priority. Falls can occur in various situations, such as working at heights or in poorly scaffolded areas, and can lead to serious workplace accidents. To create a safe working environment, it is important to detect fall risks early and take preventive measures. SafetyGate uses AI cameras to detect unsafe behaviors on-site in real-time, identifying dangerous actions that could lead to falls and protecting the safety of workers. 【Usage Scenarios】 - High-altitude work sites - Poorly scaffolded areas - During material handling - When using stairs 【Benefits of Implementation】 - Early detection of fall risks - Prevention of workplace accidents - Increased safety awareness - Ensuring the safety of workers
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While working on daily business improvements, have you ever felt that "for some reason, waste on the shop floor just doesn't seem to decrease"? There are often deeper-rooted wastes that cannot be resolved by past improvements, which lower productivity and hinder the creation of new products. In today's highly competitive market, simply improving the tasks at hand has its limits. There is a need for new methods that eliminate waste from the root and maximize efficiency. The key to solving this challenge lies in "standardization" and "modularization." By combining these two approaches, we can completely eliminate waste that we were previously unaware of, operate the shop floor more efficiently, and produce "better products." In the next session, we will explain the specific steps for "standardization" and "modularization."
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The "Simple Data Diagnosis Service" is a service that provides a simple diagnostic report to identify the root causes of equipment abnormalities and quality issues using the equipment data and manufacturing data that customers possess, and to offer abnormality predictions and solutions. In production sites, various challenges such as "line stoppages due to equipment failures," "variability in quality," "opportunity losses due to stockouts," and "decreased equipment utilization rates" are faced. This service visualizes the current situation through approaches such as comparing normal and abnormal data, exploring specific factors, and predicting future data. This supports the first step in solving on-site issues and realizes efficiency improvements and quality enhancement in operations. Features: - Data Utilization: Maximizes the use of existing customer data to reduce unnecessary costs. - Rapid Analysis: Completes the process from hearing to report creation in about four weeks. - Diverse Analytical Methods: Utilizes comparisons of normal and abnormal data, exploration of specific factors, and data predictions. - On-Site Support: Even if data shortages are identified, support for data acquisition can be provided using Tack's other solutions. - Business Utilization Proposals: Specifically suggests how to utilize the analysis results in business and on-site operations.
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In the automotive industry, maintaining quality and improving production efficiency are always required. Particularly in manufacturing lines composed of a wide variety of parts, equipment failures can lead to production stoppages and significant losses. Smart iMATE analyzes daily maintenance records using AI to detect signs of potential failures and supports rapid recovery, thereby reducing equipment downtime and contributing to improved production efficiency. 【Usage Scenarios】 - Maintenance management of key equipment such as presses, welding robots, and painting booths in automotive manufacturing plants - Preventive maintenance and response to unexpected failures of production equipment at parts suppliers - Analysis of the correlation between equipment failures and product defects in quality control departments 【Benefits of Implementation】 - Increased production volume due to stable equipment operation - Reduction of losses caused by failures - Streamlining of maintenance operations and cost reduction
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In the semiconductor manufacturing industry, improving yield is a crucial issue directly linked to profitability. Equipment failures and malfunctions are significant factors that lead to decreased yield. Particularly in semiconductor manufacturing, which requires advanced technology, stable operation of equipment is essential. Smart iMATE analyzes maintenance records using AI to detect early signs of potential failures, enabling planned maintenance and contributing to yield improvement. 【Usage Scenarios】 - Preventive maintenance of equipment in semiconductor manufacturing lines - Investigating causes during equipment failures and reducing recovery time - Standardizing maintenance operations and passing on technical knowledge 【Benefits of Implementation】 - Improved yield through stable equipment operation - Reduced maintenance costs - Alleviation of the burden on technicians
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In predictive maintenance for manufacturing, it is important to detect equipment anomalies early and minimize downtime. Equipment failures can lead to decreased productivity and increased costs, making proactive measures essential. Smart iMATE combines equipment maintenance management systems with generative AI to support maintenance operations in manufacturing environments. By analyzing daily maintenance records, AI can search for similar issues, estimate causes, and suggest recovery procedures, thereby improving the efficiency of maintenance operations. 【Use Cases】 - Anomaly detection in equipment - Identification of failure causes - Suggestion of recovery procedures 【Benefits of Implementation】 - Reduction of downtime - Decrease in maintenance costs - Increased efficiency of maintenance operations
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To monitor and manage equipment in real-time, it is necessary to design the data that needs to be collected. The prerequisite for this is to accurately understand the configuration and functional arrangement of the equipment, but it is not common for manufacturers to easily disclose internal information. From the manufacturer's perspective, in a world without competition, there is a structure where "it is more profitable when things break," and the reality is that there is a conflict of interest with the users. Therefore, it is crucial for users not to rely solely on manufacturers but to learn about the equipment themselves, develop strategies, and execute them. While relying on their position as purchasers, how can they build a Win-Win relationship? Understanding the configuration and functions of the equipment and implementing the necessary data sensing will be the true starting point for achieving results in equipment management.
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"Generative AI Solutions" that help solve various business challenges arising from issues such as a shortage of human resources and the personalization of business know-how. 【Features】 1. A dedicated AI for customers provides answers. Generative AI will answer inquiries regarding general affairs regulations and QA related to your company's systems. 2. Internal information does not leak externally. Since it is a customer-specific environment, you can use it safely and securely without the risk of confidential information leaking outside.
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Using AI cameras, we conduct self-checks on the wearing of protective gear before work. This strengthens safety awareness and record management. Records of entry and exit inform us about the situation on site. We check whether safety equipment, such as helmets, protective gear, and harnesses, designated for each workplace is being worn. This helps prevent violations of safety equipment wearing rules in advance.
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The accompanying support service is a maintenance improvement support service designed to organize the challenges in equipment maintenance operations within the manufacturing industry, aiming to reduce unexpected failures and enhance productivity. A dedicated coordinator closely collaborates with the site, providing consistent support from understanding the current situation to implementing measures and measuring their effectiveness. This service addresses the concerns of on-site personnel and managers who are overwhelmed by daily troubleshooting, unable to conduct root cause analysis or improvements, and who do not see results or evaluations from implemented measures. By utilizing data and metrics, we transform maintenance activities from "person-dependent responses" to "reproducible systems." **Features:** - On-site support by dedicated coordinators - Comprehensive support from understanding the current situation to execution and effectiveness measurement - Visualization of maintenance activity results in numerical form - Support for shifting the perception of maintenance costs from "cost" to "investment"
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The Instrument Reading Image × Tack Smart Factory Cloud is a solution that digitizes and accumulates data by capturing analog meters and digital displays installed on existing equipment with a camera, thereby transforming meter reading and inspection operations into a digital format. It eliminates the need for manual site patrols, visual inspections, and transcription tasks to paper or Excel, achieving accurate data acquisition and automation of anomaly detection. The acquired data can be integrated with the Smart Factory Cloud for trend monitoring, anomaly notifications, and visualization of operational status. 【Features】 - Utilizes existing meters without replacement - Automates visual inspection and recording tasks, reducing manpower - Early detection of anomalies to prevent equipment troubles - Improved reliability for compliance and evidence management It evolves inspection operations from "tasks" to "management and decision-making."
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The video and AR manual system Dive is a field-specific solution that shares and inherits the accumulated work know-how and tacit knowledge in manufacturing sites as "usable knowledge" by utilizing videos and AR. By simply filming and uploading the work process, our patented AI technology automatically segments and edits the video, generating a video manual that can be used as a procedure document. Furthermore, by linking equipment and work targets with the manual through AR, we create an environment where understanding and execution can be done intuitively on-site. Through proficiency management linked to a skill map, we visualize who has mastered which skills to what extent, supporting planned education and knowledge sharing. 【Features】 - Reduces video editing workload by approximately 90%, allowing for rapid accumulation of knowledge - Achieves "easy-to-understand" manuals on-site through AR utilization - Visualizes knowledge that tends to become personalized through skill map integration - Supports the creation of a system that enables continuous knowledge sharing
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Tack Smart Action Trigger is a smart notification solution that notifies the optimal worker in real-time about equipment anomalies and work events occurring on the manufacturing floor, accelerating on-site responses. It collaborates with various devices such as wearable devices, tablets, and call buttons to eliminate information transmission losses such as "not noticing" or "unable to contact." Not limited to simple work notifications, it can flexibly connect with equipment, IoT, and other systems through API integration. By accumulating and visualizing notification history and unresolved situations, it can be utilized as an expandable platform aimed at future business analysis, work optimization, and automated decision-making and control through AI integration. 【Features】 - Direct notification to the optimal personnel, reducing response time - Flexible notification rule settings tailored to on-site operations - Support for future expansion and enhancement through API integration - Standardization of the notification mechanism to prevent dependency on specific individuals
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The Tack Smart Factory IoT package is an on-premises IoT starter package that allows for easy and quick visualization of equipment conditions in manufacturing sites. By simply installing external sensors without modifying the equipment, it can collect, accumulate, and visualize on-site data such as operation, stoppage, and abnormalities. Since sensing, data collection, and display functions are pre-set, it can be smoothly implemented even without specialized knowledge in IoT or data utilization. You can start small and gradually expand while confirming the effects of on-site improvements. 【Features】 - No equipment modification required; immediate implementation with external sensors - Operates in an on-premises environment, fully contained within the company - Allows for comparison and standardization of multiple pieces of equipment using the same sensor - Ideal as the "first step" in IoT implementation We promote the digitalization of manufacturing sites steadily and reliably.
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This solution is an integrated DX solution that combines equipment maintenance management systems with generative AI support for utilizing maintenance know-how, optimizing maintenance operations in manufacturing sites and maintenance departments from a manager's perspective. It centralizes daily preventive maintenance plans, work performance, and response history during unexpected failures, making maintenance activities "visible." By analyzing and utilizing accumulated maintenance records with generative AI, it assists in searching for similar troubles, estimating causes, and suggesting recovery procedures. Additionally, the input support function in a dialogue format helps reduce record omissions and variations in content. This enhances the quality of maintenance records and allows know-how, which tends to become personalized, to be accumulated as an organizational asset. 【Features】 - Centralization of records and management for preventive and emergency maintenance - Decision support and reduction of recovery time through AI utilization - Standardization of maintenance operations and efficiency in personnel training - Visualization of maintenance status that is easy for managers to understand
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It is a multi-layered defense network security solution that protects your business from cyber threats. The "Tack SecurePlatform" achieves robust defense through three layers: [preventing intrusion], [preventing outbreaks], and [protecting data] for the safety and security of system usage. [Preventing Intrusion] VPNs, which are widely used for remote maintenance of devices, account for 60% of ransomware infection routes and are the most targeted entry points. By consolidating multiple VPNs into a single, more secure line, we can manage them safely. Features such as two-factor authentication and operation recording can be implemented to create a more secure environment. [Preventing Outbreaks] With the advanced zero-trust security "AppGuard," which thoroughly blocks malware and harmful actions, you can establish a new standard of security that ensures "even if intruded, outbreaks are prevented." [Protecting Data] We have established a backup system to a highly available domestic data center. With 30 generations of data storage and a locking function after storage, data recovery in case of emergencies is made possible.
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A cloud service that supports the safety of workers and safety management for supervisors using AI cameras. By automatically detecting unsafe behaviors at manufacturing sites, such as "wearing protective gear during chemical use or machine maintenance" and "holding onto handrails while using a smartphone when going up and down stairs," it notifies in real-time, helping to catch dangers lurking in the workplace and contributing to the prevention of labor accidents that can lead to near misses.
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The Digital Maintenance Meister is a generative AI solution that visualizes and standardizes maintenance operations in manufacturing sites and maintenance departments from a management perspective. Three features: 1. Easily accessible - 24/7 - Support is available anytime thanks to digital technology. 2. Awareness of countermeasures - Proposals based on insights - Suggestions for abnormal identification, investigation, and remedial methods based on experience (maintenance records) and knowledge. 3. Enhanced judgment - An evolving brain - Records and accumulates daily events, evolving as a unique partner. AI learns from past maintenance records, equipment design documents, procedures, error logs, etc., and presents ways to think about causes and appropriate countermeasures for equipment troubles that occur on-site. Since it does not rely on the experience of the personnel, anyone can make judgments and responses at a certain level, contributing to the elimination of dependency on individuals and the efficiency of human resource development. Additionally, it can be used as a management decision support tool, reducing the burden of night and holiday responses since it is available 24/7. Daily response content is accumulated, and the AI continues to evolve. It can build a "customized maintenance knowledge base" tailored to the site.
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In the food manufacturing industry, stable operation of equipment is essential to maintain product quality. Particularly in manufacturing lines where temperature control and hygiene management are required, equipment failures pose a risk of quality deterioration and production stoppage. The Digital Maintenance Meister supports stable equipment operation by having AI learn from past maintenance records and error logs to identify the causes of equipment troubles and suggest appropriate measures. 【Use Cases】 - Prevention of foreign matter contamination in food manufacturing lines - Abnormality detection and countermeasures for temperature control equipment - Preventive maintenance of manufacturing equipment 【Benefits of Implementation】 - Maintenance of quality through stable equipment operation - Reduction of opportunity loss due to unexpected failures - Elimination of reliance on specific individuals and increased efficiency in personnel training
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In the semiconductor manufacturing industry, a highly clean environment is required, as the intrusion of fine dust and foreign substances greatly affects product quality. Equipment troubles can lead to a deterioration of the environment within the clean room and halt the manufacturing line, potentially resulting in significant losses. The Digital Maintenance Meister supports the cleaning process in semiconductor manufacturing by having AI learn from past maintenance records and equipment design documents, identifying the causes of equipment troubles, and suggesting appropriate countermeasures. 【Usage Scenarios】 - Equipment maintenance within clean rooms - Anomaly detection on the manufacturing line and prompt response - Reduction of foreign substance contamination risks 【Benefits of Implementation】 - Reduction of equipment downtime - Decrease in quality defect rates - Increased efficiency of maintenance operations
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In predictive maintenance for the manufacturing industry, early detection of equipment anomalies and planned maintenance are essential for maintaining productivity. Sudden equipment failures can lead to production line stoppages and significant losses. The Digital Maintenance Meister uses AI to learn from past maintenance records and error logs, providing information to detect equipment anomalies early. This enables planned maintenance and reduces equipment downtime. 【Usage Scenarios】 * Anomaly detection in equipment * Identification of causes * Suggestion of appropriate countermeasures 【Effects of Implementation】 * Stable operation of equipment * Reduction in maintenance costs * Improvement in productivity
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For Production Technology and Equipment Maintenance "Zero Loss Solutions for Equipment Failures" in relation to "Corrective Maintenance" and "Preventive Maintenance" A digital maintenance master to accompany maintenance, a partner for mutual growth Available for consultations 24/7, 365 days a year. Contributing to reduced training time and minimized equipment downtime! Generative AI LLM
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