Access Control Systems in Public Transport: Efficiency Tests
FEB 27, 20269 MIN READ
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Access Control System Evolution and Efficiency Goals
Access control systems in public transportation have undergone significant transformation since their inception in the mid-20th century. The evolution began with simple mechanical turnstiles and paper-based ticketing systems, progressing through magnetic stripe cards in the 1970s and 1980s, to the sophisticated contactless smart card and mobile payment solutions prevalent today. This technological progression reflects the transportation industry's continuous pursuit of operational efficiency, enhanced passenger experience, and improved revenue protection.
The development trajectory of access control technology has been driven by several key factors including urbanization pressures, increasing passenger volumes, and the need for seamless multimodal transportation integration. Early systems focused primarily on basic fare collection and passenger counting, while modern implementations encompass comprehensive data analytics, real-time passenger flow management, and integration with broader smart city infrastructure.
Contemporary access control systems aim to achieve multiple efficiency objectives simultaneously. Primary goals include reducing passenger boarding times to under two seconds per transaction, minimizing queue formation during peak hours, and maintaining system availability rates exceeding 99.5%. These systems must also support diverse payment methods ranging from traditional smart cards to Near Field Communication (NFC) enabled smartphones and contactless bank cards.
Operational efficiency targets extend beyond transaction speed to encompass maintenance optimization, energy consumption reduction, and fraud prevention. Modern systems leverage artificial intelligence and machine learning algorithms to predict maintenance needs, optimize gate operations based on passenger flow patterns, and detect anomalous usage behaviors that may indicate fare evasion or system abuse.
The integration of biometric technologies represents an emerging frontier in access control evolution. Facial recognition, fingerprint scanning, and iris detection systems are being piloted in various metropolitan areas to enhance security while maintaining rapid throughput rates. These technologies promise to eliminate the need for physical tokens entirely while providing unprecedented levels of passenger identification accuracy.
Future efficiency goals focus on achieving true seamless mobility through account-based ticketing systems that automatically calculate optimal fares across multiple transportation modes and operators. The ultimate objective is creating frictionless passenger experiences where access control becomes invisible to users while maintaining robust revenue protection and operational oversight capabilities.
The development trajectory of access control technology has been driven by several key factors including urbanization pressures, increasing passenger volumes, and the need for seamless multimodal transportation integration. Early systems focused primarily on basic fare collection and passenger counting, while modern implementations encompass comprehensive data analytics, real-time passenger flow management, and integration with broader smart city infrastructure.
Contemporary access control systems aim to achieve multiple efficiency objectives simultaneously. Primary goals include reducing passenger boarding times to under two seconds per transaction, minimizing queue formation during peak hours, and maintaining system availability rates exceeding 99.5%. These systems must also support diverse payment methods ranging from traditional smart cards to Near Field Communication (NFC) enabled smartphones and contactless bank cards.
Operational efficiency targets extend beyond transaction speed to encompass maintenance optimization, energy consumption reduction, and fraud prevention. Modern systems leverage artificial intelligence and machine learning algorithms to predict maintenance needs, optimize gate operations based on passenger flow patterns, and detect anomalous usage behaviors that may indicate fare evasion or system abuse.
The integration of biometric technologies represents an emerging frontier in access control evolution. Facial recognition, fingerprint scanning, and iris detection systems are being piloted in various metropolitan areas to enhance security while maintaining rapid throughput rates. These technologies promise to eliminate the need for physical tokens entirely while providing unprecedented levels of passenger identification accuracy.
Future efficiency goals focus on achieving true seamless mobility through account-based ticketing systems that automatically calculate optimal fares across multiple transportation modes and operators. The ultimate objective is creating frictionless passenger experiences where access control becomes invisible to users while maintaining robust revenue protection and operational oversight capabilities.
Market Demand for Efficient Public Transport Access Solutions
The global public transport sector is experiencing unprecedented growth driven by rapid urbanization and increasing environmental consciousness. Metropolitan areas worldwide are witnessing surge in passenger volumes, creating substantial pressure on existing access control infrastructure. Traditional ticketing systems struggle to accommodate peak-hour traffic flows, resulting in passenger bottlenecks and operational inefficiencies that directly impact service quality and revenue generation.
Urban population growth projections indicate continued expansion of public transport networks across major cities. This demographic shift creates sustained demand for advanced access control solutions capable of processing high-volume passenger flows while maintaining security standards. Transit authorities increasingly recognize that efficient access systems directly correlate with overall network performance and passenger satisfaction metrics.
Environmental regulations and sustainability initiatives are driving significant investment in public transport infrastructure. Government policies promoting reduced carbon emissions position public transport as a critical component of urban mobility strategies. This regulatory environment creates favorable conditions for access control system upgrades and modernization projects, as authorities seek to maximize system capacity and operational efficiency.
The emergence of smart city initiatives has elevated expectations for integrated transport solutions. Passengers demand seamless, contactless experiences that reduce wait times and improve journey convenience. This shift in user expectations creates market opportunities for innovative access control technologies that can deliver rapid authentication while supporting multiple payment methods and user credentials.
Commercial considerations also drive market demand, as transport operators seek to optimize revenue collection and reduce operational costs. Efficient access systems enable better fare compliance monitoring, reduce staffing requirements, and provide valuable passenger flow analytics. These operational benefits translate into improved financial performance and enhanced capacity utilization across transport networks.
Technology convergence in mobile payments, biometric authentication, and IoT connectivity has created new possibilities for access control innovation. The widespread adoption of smartphones and contactless payment methods provides the foundation for next-generation access solutions that can significantly improve processing speeds and user experience while reducing infrastructure maintenance costs.
Urban population growth projections indicate continued expansion of public transport networks across major cities. This demographic shift creates sustained demand for advanced access control solutions capable of processing high-volume passenger flows while maintaining security standards. Transit authorities increasingly recognize that efficient access systems directly correlate with overall network performance and passenger satisfaction metrics.
Environmental regulations and sustainability initiatives are driving significant investment in public transport infrastructure. Government policies promoting reduced carbon emissions position public transport as a critical component of urban mobility strategies. This regulatory environment creates favorable conditions for access control system upgrades and modernization projects, as authorities seek to maximize system capacity and operational efficiency.
The emergence of smart city initiatives has elevated expectations for integrated transport solutions. Passengers demand seamless, contactless experiences that reduce wait times and improve journey convenience. This shift in user expectations creates market opportunities for innovative access control technologies that can deliver rapid authentication while supporting multiple payment methods and user credentials.
Commercial considerations also drive market demand, as transport operators seek to optimize revenue collection and reduce operational costs. Efficient access systems enable better fare compliance monitoring, reduce staffing requirements, and provide valuable passenger flow analytics. These operational benefits translate into improved financial performance and enhanced capacity utilization across transport networks.
Technology convergence in mobile payments, biometric authentication, and IoT connectivity has created new possibilities for access control innovation. The widespread adoption of smartphones and contactless payment methods provides the foundation for next-generation access solutions that can significantly improve processing speeds and user experience while reducing infrastructure maintenance costs.
Current State and Bottlenecks in Transit Access Control
Transit access control systems worldwide currently operate through diverse technological approaches, with contactless smart cards and mobile-based solutions dominating the landscape. Major metropolitan areas have implemented systems ranging from traditional magnetic stripe cards to advanced Near Field Communication (NFC) and Quick Response (QR) code technologies. However, significant performance disparities exist across different implementations, with processing speeds varying from 200 milliseconds to over 2 seconds per transaction depending on the technology stack and system architecture.
The primary bottleneck in current transit access control lies in peak-hour throughput limitations. Most existing gate systems can process between 25-40 passengers per minute under optimal conditions, but this capacity drops dramatically during rush hours when passenger behavior becomes less predictable. Queue formation at entry points creates cascading delays, particularly in high-density urban networks where stations experience passenger volumes exceeding 50,000 daily transactions.
Technical infrastructure constraints represent another critical challenge. Legacy systems often rely on centralized validation architectures that create single points of failure and introduce latency issues. Network connectivity problems between gates and central servers can result in system-wide disruptions, forcing operators to implement offline validation modes that compromise security and revenue protection. Additionally, many systems struggle with interoperability between different payment methods and transport operators.
Hardware reliability issues plague many installations, particularly in harsh environmental conditions. Gate mechanisms frequently malfunction due to mechanical wear, sensor degradation, and exposure to weather elements. Maintenance requirements for these systems often necessitate taking gates offline during peak periods, further exacerbating capacity constraints and passenger frustration.
Data processing bottlenecks emerge from the massive transaction volumes generated by modern transit networks. Real-time fare calculation, fraud detection, and passenger flow analytics require substantial computational resources that many current systems cannot adequately support. This limitation prevents operators from implementing dynamic pricing strategies and advanced passenger management features that could optimize system efficiency.
Integration challenges with existing transit infrastructure create additional operational constraints. Many access control systems operate as isolated subsystems, lacking seamless integration with passenger information systems, security networks, and operational management platforms. This fragmentation results in inefficient resource allocation and limits the potential for comprehensive system optimization across the entire transit network.
The primary bottleneck in current transit access control lies in peak-hour throughput limitations. Most existing gate systems can process between 25-40 passengers per minute under optimal conditions, but this capacity drops dramatically during rush hours when passenger behavior becomes less predictable. Queue formation at entry points creates cascading delays, particularly in high-density urban networks where stations experience passenger volumes exceeding 50,000 daily transactions.
Technical infrastructure constraints represent another critical challenge. Legacy systems often rely on centralized validation architectures that create single points of failure and introduce latency issues. Network connectivity problems between gates and central servers can result in system-wide disruptions, forcing operators to implement offline validation modes that compromise security and revenue protection. Additionally, many systems struggle with interoperability between different payment methods and transport operators.
Hardware reliability issues plague many installations, particularly in harsh environmental conditions. Gate mechanisms frequently malfunction due to mechanical wear, sensor degradation, and exposure to weather elements. Maintenance requirements for these systems often necessitate taking gates offline during peak periods, further exacerbating capacity constraints and passenger frustration.
Data processing bottlenecks emerge from the massive transaction volumes generated by modern transit networks. Real-time fare calculation, fraud detection, and passenger flow analytics require substantial computational resources that many current systems cannot adequately support. This limitation prevents operators from implementing dynamic pricing strategies and advanced passenger management features that could optimize system efficiency.
Integration challenges with existing transit infrastructure create additional operational constraints. Many access control systems operate as isolated subsystems, lacking seamless integration with passenger information systems, security networks, and operational management platforms. This fragmentation results in inefficient resource allocation and limits the potential for comprehensive system optimization across the entire transit network.
Existing Access Control Solutions and Performance Metrics
01 Biometric authentication integration for enhanced access control
Access control systems can incorporate biometric authentication methods such as fingerprint recognition, facial recognition, iris scanning, or palm vein recognition to improve security and efficiency. These biometric systems provide faster authentication compared to traditional methods like key cards or PIN codes, while reducing unauthorized access risks. The integration of multiple biometric modalities can further enhance system accuracy and reliability, enabling seamless user verification and reducing processing time at access points.- Biometric authentication integration for enhanced access control: Access control systems can incorporate biometric authentication methods such as fingerprint recognition, facial recognition, iris scanning, or palm vein recognition to improve security and efficiency. These biometric systems provide faster authentication compared to traditional methods like key cards or PIN codes, while reducing unauthorized access risks. The integration of multiple biometric modalities can further enhance system accuracy and reliability, enabling seamless user verification and reducing processing time at access points.
- Cloud-based and networked access control management: Modern access control systems utilize cloud-based architectures and networked infrastructure to enable centralized management and monitoring of multiple access points across distributed locations. This approach allows real-time updates of access permissions, remote system configuration, and comprehensive audit trail generation. Cloud-based solutions improve operational efficiency by eliminating the need for on-site servers, enabling scalable deployment, and facilitating integration with other security and building management systems through standardized communication protocols.
- Mobile credential and contactless access technologies: Access control efficiency can be significantly improved through mobile credential systems that utilize smartphones or wearable devices as authentication tokens. These systems employ technologies such as Bluetooth Low Energy, Near Field Communication, or QR codes to enable touchless entry, reducing physical contact points and speeding up the authentication process. Mobile credentials offer enhanced user convenience, simplified credential distribution and revocation, and reduced costs associated with physical card production and replacement.
- Artificial intelligence and machine learning for predictive access control: Advanced access control systems incorporate artificial intelligence and machine learning algorithms to analyze access patterns, detect anomalies, and predict potential security threats. These intelligent systems can automatically adjust access permissions based on contextual factors such as time, location, and user behavior patterns. Machine learning capabilities enable the system to continuously improve its decision-making processes, reduce false positives and negatives, and optimize throughput at high-traffic access points while maintaining security standards.
- Multi-factor authentication and adaptive security protocols: Access control systems can implement multi-factor authentication combining multiple verification methods to balance security requirements with operational efficiency. Adaptive security protocols dynamically adjust authentication requirements based on risk assessment, requiring additional verification steps only when suspicious activities are detected. This approach maintains high security levels while minimizing friction for routine access scenarios, improving overall system efficiency and user experience without compromising security standards.
02 Cloud-based access control management systems
Cloud-based architectures enable centralized management of access control systems across multiple locations, improving operational efficiency and scalability. These systems allow real-time monitoring, remote configuration, and instant updates to access permissions without requiring physical presence at each site. Cloud platforms facilitate integration with other security systems and provide analytics capabilities for tracking access patterns, generating reports, and optimizing security protocols. The distributed nature of cloud systems also enhances system reliability and reduces maintenance costs.Expand Specific Solutions03 Mobile credential and smartphone-based access control
Mobile devices can serve as digital credentials for access control, utilizing technologies such as Bluetooth Low Energy, NFC, or QR codes for authentication. This approach eliminates the need for physical cards or keys, reducing costs associated with credential issuance and replacement. Mobile credentials offer enhanced user convenience through features like remote access provisioning, temporary access sharing, and integration with existing smartphone security features. The system can also leverage smartphone sensors and location services to implement context-aware access policies.Expand Specific Solutions04 Artificial intelligence and machine learning for access pattern analysis
AI and machine learning algorithms can be implemented to analyze access patterns, detect anomalies, and predict security threats in real-time. These intelligent systems learn normal behavior patterns and can automatically flag suspicious activities, such as unusual access times or unauthorized entry attempts. Machine learning models can optimize access control policies by identifying inefficiencies and suggesting improvements based on historical data. The predictive capabilities enable proactive security measures and reduce false alarms while maintaining high security standards.Expand Specific Solutions05 Multi-factor authentication and adaptive access control
Multi-factor authentication combines multiple verification methods to strengthen security while maintaining system efficiency. Adaptive access control systems dynamically adjust authentication requirements based on risk assessment factors such as location, time, device type, and user behavior patterns. This approach balances security needs with user convenience by requiring additional verification only when risk levels are elevated. The system can integrate various authentication factors including knowledge-based, possession-based, and inherence-based credentials to create flexible and robust access control policies.Expand Specific Solutions
Major Players in Transit Access Control Industry
The access control systems market in public transport is experiencing rapid growth driven by increasing urbanization and security demands. The industry is in a mature development stage with established players like Siemens AG, Hitachi Ltd., and Thales SA leading through comprehensive infrastructure solutions. Technology giants Intel Corp. and specialized firms like Cubic Corp. are advancing the technical sophistication through IoT integration and smart payment systems. The market demonstrates high technology maturity, evidenced by companies like OMRON Corp. and Hikvision providing advanced sensor technologies and surveillance integration. Regional players such as ATEC Mobility and Casco Signal contribute specialized RFID and railway control expertise. The competitive landscape shows consolidation around integrated platforms combining access control, payment processing, and passenger management, with established automotive suppliers like BMW and Volkswagen expanding into mobility-as-a-service solutions, indicating strong cross-industry convergence and technological advancement.
Siemens Mobility GmbH
Technical Solution: Siemens Mobility develops comprehensive access control systems for public transport featuring contactless smart card technology, mobile ticketing solutions, and real-time passenger flow management. Their systems integrate RFID and NFC technologies to enable seamless fare collection across multiple transport modes including buses, trains, and metro systems. The platform supports dynamic pricing models and provides real-time analytics for operational efficiency optimization. Their solutions include automated fare gates, validator systems, and backend management platforms that can handle millions of transactions daily while maintaining sub-second response times for passenger validation.
Strengths: Market-leading integration capabilities across transport modes, proven scalability for large metropolitan systems, robust security features. Weaknesses: Higher implementation costs, complex system integration requirements for legacy infrastructure.
Hitachi Ltd.
Technical Solution: Hitachi develops integrated access control systems for public transportation utilizing biometric authentication, AI-powered passenger flow analysis, and IoT-enabled infrastructure monitoring. Their solutions incorporate facial recognition technology with 99.7% accuracy rates and thermal imaging for health screening capabilities. The platform features predictive maintenance algorithms that reduce system downtime by up to 35% and supports multi-modal transport integration with real-time capacity management. Their access control gates can process up to 60 passengers per minute while maintaining comprehensive security logging and audit trails for regulatory compliance.
Strengths: Advanced biometric capabilities, strong AI integration, excellent reliability record in Asian markets. Weaknesses: Higher privacy concerns with biometric systems, complex regulatory compliance requirements in some regions.
Core Technologies in High-Efficiency Access Systems
System and method for access control in open restricted areas
PatentInactiveEP3535734A1
Innovation
- A system comprising a central control unit with a processor module for people detection and validation status management, sensor units for real-time tracking, validator units for credential verification, and an alarm unit to alert unauthorized entries, focusing on tracking individuals' positions and validation statuses to ensure only authorized persons access the restricted area.
Control system
PatentWO2016128081A1
Innovation
- A control system incorporating a person detection device with a sensor unit and evaluation unit to determine characteristic parameters, an authorization detection device for validating permissions, and a control device that issues warnings for unauthorized access, enabling precise identification and authorization checks without physical barriers, using technologies like TOF sensors and NFC for efficient access control.
Transit Authority Regulations and Compliance Standards
Transit authority regulations form the foundational framework governing access control systems in public transportation networks worldwide. These regulatory structures establish mandatory technical specifications, operational protocols, and performance benchmarks that directly influence the design and implementation of access control technologies. Regulatory bodies such as the Federal Transit Administration in the United States, Transport for London, and similar organizations globally maintain comprehensive standards addressing system reliability, data protection, accessibility compliance, and interoperability requirements.
Compliance standards for access control systems encompass multiple dimensions of operational excellence. Payment Card Industry Data Security Standards (PCI DSS) mandate stringent security protocols for fare payment processing, requiring end-to-end encryption and secure data transmission mechanisms. Americans with Disabilities Act (ADA) compliance necessitates accessible gate designs, audio-visual feedback systems, and alternative access methods for passengers with mobility impairments. These requirements significantly impact system architecture and user interface design considerations.
International standardization efforts have established unified technical specifications through organizations like the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). ISO 14443 and ISO 18092 standards define near-field communication protocols essential for contactless fare systems, while ISO 24014 series addresses public transport interoperability requirements. These standards ensure cross-platform compatibility and facilitate seamless passenger experiences across different transit networks.
Regional regulatory variations create complex compliance landscapes for access control system manufacturers and operators. European Union regulations emphasize data privacy through GDPR requirements, mandating explicit consent mechanisms and data minimization principles in passenger tracking systems. Asian markets often prioritize high-throughput performance standards due to extreme passenger volumes, requiring specialized testing protocols and capacity validation procedures.
Emerging regulatory trends focus on cybersecurity resilience and environmental sustainability. New directives require regular penetration testing, incident response protocols, and supply chain security assessments for critical transit infrastructure. Environmental regulations increasingly mandate energy-efficient hardware components and sustainable manufacturing processes, influencing long-term technology roadmaps and vendor selection criteria for transit authorities implementing next-generation access control solutions.
Compliance standards for access control systems encompass multiple dimensions of operational excellence. Payment Card Industry Data Security Standards (PCI DSS) mandate stringent security protocols for fare payment processing, requiring end-to-end encryption and secure data transmission mechanisms. Americans with Disabilities Act (ADA) compliance necessitates accessible gate designs, audio-visual feedback systems, and alternative access methods for passengers with mobility impairments. These requirements significantly impact system architecture and user interface design considerations.
International standardization efforts have established unified technical specifications through organizations like the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). ISO 14443 and ISO 18092 standards define near-field communication protocols essential for contactless fare systems, while ISO 24014 series addresses public transport interoperability requirements. These standards ensure cross-platform compatibility and facilitate seamless passenger experiences across different transit networks.
Regional regulatory variations create complex compliance landscapes for access control system manufacturers and operators. European Union regulations emphasize data privacy through GDPR requirements, mandating explicit consent mechanisms and data minimization principles in passenger tracking systems. Asian markets often prioritize high-throughput performance standards due to extreme passenger volumes, requiring specialized testing protocols and capacity validation procedures.
Emerging regulatory trends focus on cybersecurity resilience and environmental sustainability. New directives require regular penetration testing, incident response protocols, and supply chain security assessments for critical transit infrastructure. Environmental regulations increasingly mandate energy-efficient hardware components and sustainable manufacturing processes, influencing long-term technology roadmaps and vendor selection criteria for transit authorities implementing next-generation access control solutions.
Passenger Privacy and Data Security in Access Systems
Passenger privacy and data security represent critical concerns in modern public transport access control systems, as these platforms collect, process, and store vast amounts of personal information daily. The integration of contactless payment methods, biometric authentication, and mobile ticketing solutions has exponentially increased the volume of sensitive data handled by transit authorities, creating unprecedented challenges for privacy protection and cybersecurity.
Contemporary access control systems typically capture multiple data points including travel patterns, payment information, device identifiers, and in some cases biometric templates. This comprehensive data collection enables enhanced operational efficiency and personalized services but simultaneously creates significant privacy vulnerabilities. The persistent tracking capabilities inherent in smart card systems and mobile applications allow for detailed passenger profiling, raising concerns about surveillance overreach and potential misuse of personal information by both authorized and unauthorized entities.
Data security frameworks in public transport systems must address multiple threat vectors including unauthorized access, data breaches, insider threats, and cyberattacks targeting critical infrastructure. The interconnected nature of modern transit networks, often integrating with third-party payment processors and service providers, expands the attack surface and complicates security implementation. Legacy system integration further compounds these challenges, as older infrastructure may lack robust security protocols required for contemporary threat landscapes.
Regulatory compliance presents another layer of complexity, with systems required to adhere to data protection regulations such as GDPR, CCPA, and sector-specific privacy laws. These frameworks mandate strict data minimization principles, explicit consent mechanisms, and comprehensive audit trails, necessitating significant architectural considerations in system design and operation.
Emerging privacy-preserving technologies offer promising solutions, including differential privacy techniques, homomorphic encryption, and zero-knowledge proof systems that enable functionality while protecting individual privacy. Tokenization and pseudonymization strategies provide additional layers of protection by separating personal identifiers from operational data, reducing exposure risks while maintaining system effectiveness.
The balance between operational efficiency and privacy protection remains a fundamental challenge, requiring careful consideration of data retention policies, access controls, and transparency mechanisms to maintain public trust while delivering effective transportation services.
Contemporary access control systems typically capture multiple data points including travel patterns, payment information, device identifiers, and in some cases biometric templates. This comprehensive data collection enables enhanced operational efficiency and personalized services but simultaneously creates significant privacy vulnerabilities. The persistent tracking capabilities inherent in smart card systems and mobile applications allow for detailed passenger profiling, raising concerns about surveillance overreach and potential misuse of personal information by both authorized and unauthorized entities.
Data security frameworks in public transport systems must address multiple threat vectors including unauthorized access, data breaches, insider threats, and cyberattacks targeting critical infrastructure. The interconnected nature of modern transit networks, often integrating with third-party payment processors and service providers, expands the attack surface and complicates security implementation. Legacy system integration further compounds these challenges, as older infrastructure may lack robust security protocols required for contemporary threat landscapes.
Regulatory compliance presents another layer of complexity, with systems required to adhere to data protection regulations such as GDPR, CCPA, and sector-specific privacy laws. These frameworks mandate strict data minimization principles, explicit consent mechanisms, and comprehensive audit trails, necessitating significant architectural considerations in system design and operation.
Emerging privacy-preserving technologies offer promising solutions, including differential privacy techniques, homomorphic encryption, and zero-knowledge proof systems that enable functionality while protecting individual privacy. Tokenization and pseudonymization strategies provide additional layers of protection by separating personal identifiers from operational data, reducing exposure risks while maintaining system effectiveness.
The balance between operational efficiency and privacy protection remains a fundamental challenge, requiring careful consideration of data retention policies, access controls, and transparency mechanisms to maintain public trust while delivering effective transportation services.
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