[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"currency-morpho1-USD-fiat":3},{"id":4,"symbol":5,"slug":6,"name":7,"alternateIds":8,"hasDescription":52,"description":53,"whitepaper":56,"websites":57,"watchlist":60,"price":61,"marketcap":62,"fdv":63,"volume24h":64,"high24h":65,"low24h":66,"showIn":67,"externalIds":68,"buyLink":72,"percentChange":73,"category":54,"rank":84,"supply":85,"logo":54,"tags":88,"createdAt":174,"isActive":52,"dominance":175,"pricePrecision":161},2885171,"MORPHO","morpho1","Morpho",[9,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50],{"exchange":10,"altName":5,"excludeFromAggregates":11},"coinbase",false,{"exchange":13,"altName":5,"excludeFromAggregates":11},"bybit",{"exchange":15,"altName":5,"excludeFromAggregates":11},"okx",{"exchange":17,"altName":5,"excludeFromAggregates":11},"binance",{"exchange":19,"altName":5,"excludeFromAggregates":11},"bitget",{"exchange":21,"altName":5,"excludeFromAggregates":11},"gate",{"exchange":23,"altName":5,"excludeFromAggregates":11},"mexc",{"exchange":25,"altName":5,"excludeFromAggregates":11},"kucoin",{"exchange":27,"altName":5,"excludeFromAggregates":11},"crypto",{"exchange":29,"altName":5,"excludeFromAggregates":11},"bingx",{"exchange":31,"altName":5,"excludeFromAggregates":11},"bitmart",{"exchange":33,"altName":5,"excludeFromAggregates":11},"bithumb",{"exchange":35,"altName":5,"excludeFromAggregates":11},"kraken",{"exchange":37,"altName":5,"excludeFromAggregates":11},"lbank",{"exchange":39,"altName":5,"excludeFromAggregates":11},"biconomy",{"exchange":41,"altName":5,"excludeFromAggregates":11},"deepcoin",{"exchange":43,"altName":5,"excludeFromAggregates":11},"coinw",{"exchange":45,"altName":5,"excludeFromAggregates":11},"tapbit",{"exchange":47,"altName":5,"excludeFromAggregates":11},"bitrue",{"exchange":49,"altName":5,"excludeFromAggregates":11},"indodax",{"exchange":51,"altName":5,"excludeFromAggregates":11},"cex",true,{"ru":54,"en":55},"","\u003Cul>\u003Cli>\u003Cb>What is Morpho (MORPHO)?\u003C/b>\u003C/li>\u003C/ul>\u003Cpre>Morpho was a brand under the company Safran, which specialized in security and identification solutions. Morpho offered a wide range of products and services for various industries, including government, finance, healthcare, transportation, and aviation. Some of their key offerings included advanced biometric technologies, smart card solutions, ePassport systems, digital identity management services, and detection and inspection systems.\n\nMorpho's biometric solutions were known for their high accuracy and security, with modalities like fingerprint, facial, and iris recognition. They also provided secure identification cards using smart card technology, which was widely accepted and used in various applications such as national ID cards, ePassports, and payment systems.\n\nIn addition to these core offerings, Morpho had a strong global presence with offices and partners in over 50 countries, allowing them to provide localized support and services tailored to clients' specific needs. They were also committed to research and development, constantly exploring new technologies and solutions to improve security and identification processes.\n\nMorpho has since been integrated into Safran, continuing to offer its range of security and identification solutions under the Safran brand.\u003C/pre>\u003Cul>\u003Cli>\u003Cb>What is the purpose of MORPHO?\u003C/b>\u003C/li>\u003C/ul>\u003Cpre>Morpho, now part of Safran, was a brand focused on providing security and identification solutions for various industries. The purpose of Morpho was to help clients enhance their security measures while improving efficiency in identity management processes.\n\nSome key purposes of Morpho included:\n\n1. Biometric technologies: Morpho offered advanced biometric solutions like fingerprint, facial, and iris recognition to provide high levels of accuracy and security for applications such as border control, identity verification, and access control.\n\n2. Smart card technology: Morpho provided secure identification cards using smart card technology for various industries, including government, finance, healthcare, and transportation. Their purpose was to ensure that these cards were durable, secure, and easy to use.\n\n3. ePassport systems: Morpho was a major provider of ePassport systems worldwide. The purpose of their ePassport solutions was to incorporate advanced security features like electronic data storage, holographic images, and microprinting to prevent counterfeiting and forgery while streamlining passport issuance and border control processes.\n\n4. Digital identity management: Morpho aimed to help organizations securely manage user identities across various platforms and applications by offering identity verification, authentication, and access control services.\n\n5. Detection and inspection systems: Morpho developed advanced detection and inspection systems for security applications, such as explosives trace detection, X-ray imaging, and cargo inspection. The purpose of these systems was to prevent the smuggling of contraband items and enhance overall security at airports, seaports, and border crossings.\n\n6. Innovation: Morpho's purpose also included a commitment to research and development, constantly exploring new technologies and solutions to improve security and identification processes. This focus on innovation allowed them to stay ahead of competitors and provide cutting-edge products and services for their clients.\n\nIn summary, the purpose of Morpho was to provide advanced security and identification solutions for various industries, ensuring high levels of accuracy, security, and efficiency in identity management processes while staying at the forefront of technological innovation.\u003C/pre>\u003Cul>\u003Cli>\u003Cb>What problem does Morpho solve?\u003C/b>\u003C/li>\u003C/ul>\u003Cpre>Morpho, now part of Safran, provided security and identification solutions that addressed various challenges faced by clients in different industries. Some problems Morpho aimed to solve include:\n\n1. Identity verification: Morpho offered advanced biometric technologies like fingerprint, facial, and iris recognition to help organizations accurately identify individuals and prevent identity fraud. This is particularly important in applications such as border control, access control, and financial transactions.\n\n2. Secure identification cards: Morpho provided smart card solutions for various industries, ensuring that secure identification cards were issued with advanced security features. This addressed the problem of counterfeit or tampered ID cards, which can lead to fraud, unauthorized access, and security breaches.\n\n3. Border control and immigration management: Morpho's ePassport systems helped governments streamline passport issuance processes while incorporating advanced security features to prevent document forgery. This addressed the challenges of managing large volumes of travelers at borders and airports, ensuring that only legitimate travelers enter a country.\n\n4. Digital identity management: Morpho offered solutions to help organizations securely manage user identities across various platforms and applications. This addressed the problem of unauthorized access, data breaches, and identity theft in an increasingly digital world.\n\n5. Detection and inspection systems: Morpho developed advanced detection and inspection systems for security applications, such as explosives trace detection and cargo inspection. These solutions helped prevent the smuggling of contraband items and enhance overall security at airports, seaports, and border crossings.\n\nIn summary, Morpho solved problems related to identity verification, secure identification card issuance, border control and immigration management, digital identity management, and detection and inspection systems in various industries. By providing advanced security and identification solutions, Morpho aimed to improve overall security measures while streamlining processes for its clients.\u003C/pre>\u003Cul>\u003Cli>\u003Cb>What are the main technologies used in Morpho?\u003C/b>\u003C/li>\u003C/ul>\u003Cpre>Morpho, now part of Safran, utilized various advanced technologies to provide security and identification solutions for its clients. Some main technologies used in Morpho include:\n\n1. Biometric technologies: Morpho offered a range of biometric modalities like fingerprint, facial, and iris recognition. These technologies use algorithms and machine learning to accurately identify individuals based on their unique physical characteristics.\n\n2. Smart card technology: Morpho provided secure identification cards using smart card technology, which incorporates microprocessors and embedded software to store and process data. This technology ensures that the cards are durable, secure, and easy to use while providing a high level of security for various applications.\n\n3. ePassport systems: Morpho's ePassport solutions incorporate advanced security features like electronic data storage, holographic images, and microprinting. These technologies help prevent counterfeiting and forgery while streamlining passport issuance and border control processes.\n\n4. Digital identity management: Morpho utilized technologies like identity verification, authentication, and access control services to help organizations securely manage user identities across various platforms and applications. This includes the use of biometrics, encryption, and other security protocols to protect sensitive data.\n\n5. Detection and inspection systems: Morpho developed advanced detection and inspection systems using technologies like X-ray imaging, explosives trace detection, and cargo inspection. These systems help prevent the smuggling of contraband items and enhance overall security at airports, seaports, and border crossings.\n\n6. Data analytics and artificial intelligence: Morpho leveraged data analytics and artificial intelligence to improve its biometric recognition algorithms, optimize security processes, and provide valuable insights for clients in various industries.\n\nIn summary, the main technologies used in Morpho include biometric technologies, smart card technology, ePassport systems, digital identity management solutions, detection and inspection systems, and data analytics/artificial intelligence. These technologies help Morpho (now part of Safran) provide advanced security and identification solutions for its clients.\u003C/pre>\u003Cul>\u003Cli>\u003Cb>Is there a native token Morpho?\u003C/b>\u003C/li>\u003C/ul>Temporary cant answer this question\u003Cul>\u003Cli>\u003Cb>What is the economics of tokens in Morpho?\u003C/b>\u003C/li>\u003C/ul>\u003Cpre>As Morpho MORPHO is a project focused on identity management technologies and not a cryptocurrency or token-based platform, there are no tokens associated with it. The information provided in your previous question pertains to the development of advanced biometric technologies for secure and efficient identity management.\n\nIf you have any further questions about Morpho MORPHO or related topics, please feel free to 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","https://twitter.com/MorphoLabs",null,{"id":95,"name":105,"logo":106,"link":107,"sourceId":103},"Blog","data:image/png;base64,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