MOBILE PHONE APP WITH ‘AI’

Trust-Cards

Presentation 2024

Trust-Cards

About Us

‘AI & IoT’ Display Cards

Trust-Cards produce dynamic display cards with superior IoT technology and ‘AI’ oversight. A secure smartphone AI-PORTAL App, plus Qi2 charging with BLE conversion to IoT. Adding E-INK with a low power interactive multi-lingual display enhances the capabilities and global applications. When Trust-Cards are attached to the reverse side of smartphones, they create an IoT ecosystem.

Trust-cards patented technology upgrades the common static plastic card with new dynamic displays, IoT and AI support.

Identity Theft

Identity theft via Phishing is not our only concern, Card Cloning of debit and credit cards, ID Cards, Corporate Access Cards, Government ID’s, Licenses, Passports, Health Cards, Transportation E-Cash cards, KYC Credentials, Automotive keyfobs, Pension Cards, Insurance, Employment Cards and Membership/Discount Cards. Phishing and Cloning is a multi-Billion dollar industry that is both pervasive and lucrative, which threatens our identity and security everyday.

ID Credentials

AI Attacks

ID Credentials haven't changed in decades, this is due to cost of replacement and complexity of adding security, both to the card and NFC terminals.

AI enables perpetrators with stronger attack scenarios. AI enables large scale attacks, and a broader range of weapons to expose user vulnerabilies.

Trust-Cards

A Trusted Marketing Platform

AI techniques will change the Digital Marketing landscape. The anticipated avalanche of artificially created content will become so pervasive and unreal, that we tune out or simply don’t believe anymore.

Trust-Cards will create an AI platform and trusted information source.

Trust-Cards

Security & Marketing Profile & Location

AI utilizes profiles, locations, spending habits, with biometrics, to ensure identity and marketing effectiveness. The combination of these input criteria ensure more trust, greater user certainty and enhanced personalized content marketing. Trust-Cards combines technologies under an AI oversight umbrella for multi-applications and user confidence.

Trust-Cards

A New Advertising Medium

E-INK cards and readers have an enormous impact on users, as they focus on the card presentation outcome. The card holds personal information, male/female, age, location, which can combine to modify the advert and personalize the message. AI holds information about the card’s unique ID and is able to modify the displayed image in real-time.

AI Cards

Industries

Most every modern-day industries issue a card or credential for access, identity or both. Additionally, cards are used for branding. These cards are easily Cloned.

User Experience

The proliferation of AI attacks will continue and technology needs to meet the challenges ahead. Trust-cards will participate in the technology advancement race by upgrading everyday plastic cards.

Users need support to adapt to technology innovation. Trust-cards has introduced AI for the purpose of simplifying the initialization, customization and ongoing security oversight.

Trust-cards recognize the substantial problems that exist today and that will multiply tomorrow. AI has become a tool of perpetrators and hackers, and the only way to effectively defend ourselves is by using AI. Intelligent display cards can be updated in real-time, both with card expiry limitations and with advertising notifications.

Secure

AI Dynamic Display Cards, incorporated in standard ISO plastic cards, creates far greater user-acceptance, whilst improving security and capability. The market and user adoption for Cards is already unparalleled, therefore upgrading the product with long range IoT and BLE enables a seamless user experience.

Iot offers superior security and longer range performance than RF or NFC. Trust-cards offers Bluetooth BLE to IoT conversion, enabling our phone to communicate with IoT.

Bluetooth BLE

Trust-cards integrate BLE and IoT, offering a diverse range of connectivity options. NFC is also utilized as a backward compatible interface, offering considerable flexibility.

Market Size

5 Billion

Mobile phones dominate the global landscape and have become vital assistants to everyday life. Mobile phones have started to reach their technological limit and a replacement or adjunct technology is inevitable.

50+ Billion

Plastic cards globally are estimated to be around 40 Billion units, however this doesn’t account for personalized membership/discount cards, licenses, passports, automative, fobs, remotes, cash, health or Corporate ID cards.

55+ Billion

Dynamic Displays enable multi-lingual customized displays and moving pictures. The global sales potential of AI and IoT is unlimited. Mobile phones are vital in our modern day society, plastic cards are used in even greater volumes. Both these technologies now have trust issues. Introducing new AI technology as an upgrade path for users offers an ideal pathway to alleviating their vulnerabilities.

Trust-Cards combine these markets, by utilizing a transparent jacket on the reverse side of the phone. The potential business case from this combination is substantial and never ends.

Markets & CAGR

The global identity verification market size was valued at USD $8.43 billion in 2021 and is predicted to reach USD $32.94 billion by 2030, increasing at a CAGR of 16.35% from 2022 to 2030. In 2021, North America held a dominant position in the market with a revenue share that was greater than 41 percent. The market size stood at USD $145.57 Billion in 2021.

The Global Digital Health Market size is expected to reach USD $430.52 Billion by 2028, exhibiting a Compound Annual Growth Rate (CAGR) of 16.9% during the forecast period. Trust-cards looks at these markets in combination and will participate in a significantly large and growing Security Access ID Marketplace.

A report by MarketsandMarkets estimates the global AI market size to grow from USD $58.3 billion in 2021 to USD $309.6 billion by 2026, at a CAGR of 40.0% during the forecast period.

Company Focus

We can explain in detail the projections of the company and the development phases of our AI Foundation Model.

Trust-cards Income streams divided into 4 groups:

• 1. Biometrics, IoT, RF, E-INK, NFC and Bluetooth Cards, existing technology upgraded.
  
• 2. Wall Mount Security Access Readers with Biometrics (fingerprint or facial camera), NFC, IoT, Qi2 and E-INK, existing devices upgraded.
  
• 3. Apps to manage Cards, IoT for long range control, automotive and tracking with advertising, multi-lingual support, images, etc.
  
• 4. Licensing our AI patented technology to companies or in joint venture manufacturing associations.
  

Trust-cards creates advertising revenue in all 4 groups, which is controlled and maintained within the AI smartphone App.

Existing RF products upgraded to IoT and the significant advantages of a secure Read/Write encrypted protocol.

Implement Advertising in all our products and Apps. Advertising will become a solid recurring revenue earner.

RF BIO Hereditary IP

RF FOB

RF BIO CARD

Access Control RF signal sent after button press.

Access Control RF signal sent after Biometrics Authentication

Business Strategy

• Register new patents
• License existing patents
• Upgrade existing technology
• Apply for HK Govt. Technology Incentive Grants
• Start industrial design and soft prototype tooling
• First products marketed at Global Security Conferences
• Continue marketing, R&D for complementary products
• Build distribution model with largest security companies
• Renew relationships with major global entities; Apple Inc.

Competitive Advantage

Our Founder

Successfully listed companies on UK and Australian stock exchanges. Created many advanced and unique Intellectual Property (IP) concepts and has considerable expertise in global product manufacture & distribution.

https://patents.justia.com/inventor/christopher-john-burke

Christopher John Burke

Trust-Cards

Thank You

Trust-Cards

ADDENDUM

TRUST-CARDS: Q&A WITH CHATGPT

Q: Why Plastic Cards?

A: The combination of convenience, security, trackability, rewards, global acceptance, digital wallets, e-cash, digital identity, biometrics, cryptography, adaptability, reduced cost and ease of manufacture to meet customer personalization requirements; to name just a few reasons.

Q: how many plastic cards in existence today, including membership and discount cards

A: It is challenging to provide an exact number of plastic cards in existence today, considering the vast range of card types and the number constantly changing due to new issuances and card replacements. However, plastic cards, including membership cards, discount cards, credit/debit cards, identification cards, and more, are prevalent worldwide.

To give you an idea of the scale, here are some statistics on specific types of plastic cards:

Payment Cards: According to the Nilson Report, a newsletter covering the payment industry, there were over 22 billion payment cards (credit, debit, and prepaid) in circulation worldwide by the end of 2020.

Credit Cards: As of 2020, the number of credit cards in circulation globally was estimated to be over 3.8 billion.

Loyalty Cards: Loyalty cards, including membership and discount cards, vary widely across industries and businesses. Their numbers are considerable, with millions of cards issued by individual retailers, airlines, hotels, and other organizations.

Identification Cards: Government-issued identification cards, such as national ID’s, driver's licenses, and passports, also contribute to the overall count of plastic cards. The number of these cards in circulation varies by country and population.

TRUST-CARDS: Q&A WITH CHATGPT CONT.

Q: technology gets smaller and smarter over time

A: Yes, it is true that technology tends to get smaller and smarter over time. This phenomenon is often referred to as "Moore's Law," named after Gordon Moore, one of the co-founders of Intel. Moore's Law states that the number of transistors on a microchip double approximately every two years, leading to a significant increase in computing power and a decrease in size.

Q: can IoT be embedded in standard ISO size cards

A: Yes, it is possible to embed IoT (Internet of Things) technology within standard ISO size cards. ISO (International Organization for Standardization) standard size cards have specific dimensions, such as the commonly used ID-1 format (85.60 mm × 53.98 mm or 3.375 in × 2.125 in).

IoT technology can be miniaturized and designed to fit within the constraints of these card dimensions. There are various ways to incorporate IoT capabilities into cards:

NFC (Near Field Communication) Cards: NFC is a type of wireless communication technology that allows for short-range data exchange. NFC-enabled IoT devices can be embedded within ISO cards, enabling interactions with other NFC-enabled devices, such as smartphones or payment terminals.

Q: the smartest way to defend against increasingly sophisticated AI attacks is by using AI

A: You're absolutely right! The use of AI for defending against AI attacks is indeed a smart approach. Here are a few reasons why using AI for defense can be effective:

Advanced Threat Detection: AI-based systems can analyze vast amounts of data in real-time, enabling the detection of sophisticated attack patterns that may be difficult for traditional methods to identify. Machine learning algorithms can learn from historical attack data and continuously adapt and evolve to detect new and emerging threats.

TRUST-CARDS: Q&A WITH CHATGPT CONT.

Quick Response Time: AI-powered defense systems can respond rapidly to attacks. They can automatically initiate countermeasures or alert human operators for further investigation and intervention. This quick response time is crucial in preventing or minimizing the impact of AI attacks, as well as reducing the time window for potential damage.

Behavioral Analysis: AI algorithms can analyze and understand normal patterns of behavior in systems and networks. By continuously monitoring and analyzing system behavior, AI-based defenses can identify anomalies that may indicate malicious activities. This approach is particularly effective against AI attacks that mimic legitimate behavior to bypass traditional security measures.

Adaptive Defense Strategies: AI can help in developing security systems that adapt and self-improve based on new attack techniques. By leveraging machine learning, AI defenses can continually update and enhance their capabilities to stay ahead of evolving threats. This adaptability is vital in countering the dynamic nature of AI attacks.

Scale and Efficiency: AI systems can handle the massive scale of data generated by modern networks and systems. They can analyze and process data quickly, allowing for efficient identification and response to threats. With AI, it is possible to automate security tasks, freeing up human experts to focus on more complex and strategic aspects of defense.

Q: how big is the global AI market

A: The global AI market is experiencing significant growth and is projected to continue expanding in the coming years. While the exact size of the market may vary depending on the source and methodology used for estimation, various reports provide insights into its scale. Here are a few key figures:

TRUST-CARDS: Q&A WITH CHATGPT CONT.

According to Grand View Research, the global AI market size was valued at USD 62.35 billion in 2020. It is expected to expand at a compound annual growth rate (CAGR) of 40.2% from 2021 to 2028.

IDC predicts that worldwide spending on AI systems is forecast to reach USD 97.9 billion in 2023, almost doubling the spending levels of 2019.

A report by MarketsandMarkets estimates the global AI market size to grow from USD 58.3 billion in 2021 to USD 309.6 billion by 2026, at a CAGR of 40.0% during the forecast period.

PwC projects that AI will contribute approximately USD 15.7 trillion to the global economy by 2030.

These figures highlight the substantial growth and potential of the global AI market. Industries such as healthcare, finance, retail, manufacturing, and transportation are among the key sectors embracing AI technologies. Factors driving this growth include advancements in machine learning, data analytics, natural language processing, and increasing adoption of AI solutions across various applications.