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PUBLISHER: Vandagraf International Limited | PRODUCT CODE: 2060313

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PUBLISHER: Vandagraf International Limited | PRODUCT CODE: 2060313

AI-empowered Image Recognition - Product Authentication, Brand Protection & Smart Packaging Applications

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PAGES: Vol 1/181 Pages; Vol 2/202 Pages
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Aims & Scope of this Research

The Report explores how AI-empowered solutions will fit alongside (or indeed to a significant extent replace) the wide range of existing security solutions & devices used already in the marketplace:

  • wireless & optical
  • traditional 1st, 2nd & 3rd levels of defence.

The Report aims to help all stakeholders to:

  • clarify the ramifications, benefits, requirements & opportunities (& indeed threats) in relation to this highly disruptive & transformational family of technologies
  • build an up-to-date road map to support the development of optimal strategies & actionable smart packaging plans.

Scope of this Research

With a worldwide scope, the Report analyses the developments and opportunities for AI empowered image recognition solutions for branded consumer goods in 5 vertical markets which are considered to have significant potential as follows:

  • 1.Apparel & Footwear
  • 2.Luxury Fashion Accessories (Re-sale)
  • 3.Healthcare
  • 4.Beverages
  • 5.Beauty & Personal Care.

Within each of these vertical markets there are an array of product categories, often with their own individual characteristics, opening up many areas of potential opportunity, as shown in the Table below:

Market Vertical / Product Category

  • Apparel & Footwear
    • High fashion, fast fashion, sportswear, non-sports
  • Luxury Fashion Accessories
    • Leather goods, luggage, women’s handbags
  • Healthcare
    • OTC medicines, medical devices (e.g. pre-filled syringes & other medication dispensers)
  • Beverages
    • Alcoholic, non-alcoholic, liquid foods
  • Beauty & Personal Care
    • Fragrances, cosmetics & toiletries

What this Report Contains

The Report contains a detailed analysis & evaluation of:

  • the worldwide market for image recognition-based Product Authentication & Brand Protection solutions in 2025 with forecasts to 2030
  • the new technology & concepts that are driving rapid market evolution & development and how these technologies are working together to fuel growth
  • the major potential benefits (both on-pack / on-metadata label & online cybersecurity) for stakeholders (e.g.: brand owners, retailers, law enforcement, customs & other interested parties)
  • a review of AI-empowered opportunities for Brand Protection Solutions

Numerous Case Studies are used to highlight actual & potential areas of application, technologies & solutions and the range of functions that can be delivered.

Who can benefit from this Report?

The Report will provide valuable information and insights to support stakeholders:

  • 1. AI-empowered image processing / recognition solution providers
  • 2. packaging / labels converters (incl. smart packaging/metadata labels providers)
  • 3. retailers
  • 4. software developers
  • 5. brand owners & retailers
  • 6. end-of-life sorting solution providers.

Table of Contents

VOLUME 1

1. Introduction

  • 1.1. What this Report Contains
  • 1.2. Aims of this Research
  • 1.3. Scope of this Research

2. Executive Summary

  • 2.1. Volume 1: Key Findings
  • 2.2. Volume 2: Key Findings
  • 2.3. Summary of Opportunities

3. Product Related Crime - Relentless Growth

  • 3.1. Supply Chains – Routes to Market
  • 3.2. Variations of Product Related Crime
  • 3.3. Advanced Technologies Deployed by Counterfeiters
    • 3.3.1. Advanced 3D Printing
    • 3.3.2. Augmented Reality (AR) and Virtual Reality (VR)
    • 3.3.3. Deep Learning (DL), Artificial Intelligence (AI)
    • 3.3.4. AI-generated Superfakes
    • 3.3.5. Synthetic Biology and Biopharming
    • 3.3.6. Blockchain & Cryptocurrency – An Aid to Nefarious Activities

4. Image Recognition – Overview & Market Landscape

  • 4.1. Applications - Image Recognition
    • 4.1.1. Image Recognition vs Image Processing
    • 4.1.2. Image Recognition vs. Image Detection
    • 4.1.3. Visual Search
  • 4.2. Market Sizing – Image Recognition
    • 4.2.1. US Image Recognition Market
    • 4.2.2. Europe Image Recognition Market
    • 4.2.3. Asia Pacific Image Recognition Market

5. AI-empowered Image Recognition

  • 5.1. Significance of AI-empowered Image Recognition
  • 5.2. Key Applications for AI-empowered Image Processing
    • 5.2.1. AI-empowered Counterfeit Detection
    • 5.2.2. AI in Retail
  • 5.3. Drivers & Trends
    • 5.3.1. Macro Trends
  • 5.4. Benefits of AI-empowered Image Processing Solutions
    • 5.4.1. Efficiency
    • 5.4.2. Customer Experience
    • 5.4.3. Cost Savings
    • 5.4.4. Continuous Learning & Improvement is Key
  • 5.5. Challenges & Restraints – AI-empowered Image Recognition
    • 5.5.1. Data silos
    • 5.5.2. High Investment & Implementation Costs
    • 5.5.3. Skills gap
    • 5.5.4. Bias and Fairness – Training Data
    • 5.5.5. Privacy Issues
    • 5.5.6. Technical Challenges
  • 5.6. Gathering Training Data for AI-image-based Product Authentication & Brand Protection
    • 5.6.1. Consumer Engagement – Key to Gathering Data
    • 5.6.2. Consumer Engagement Models
    • 5.6.3. Motivating Consumers to Engage More – A Priority
    • 5.6.4. Towards Crowdsourcing

6. Product Authentication & Brand Protection Solutions

  • 6.1. Product Authentication
    • 6.1.1. Smartphone Authentication
  • 6.2. Brand Protection
  • 6.3. Families of Product Authentication & Brand Protection Solutions
  • 6.4. AI in Product Authentication & Brand Protection
  • 6.5. Multiple Security Feature / Device Approach
    • 6.5.1. Developing a Strategic Approach to Brand Protection with AI
  • 6.6. Market Sizing – Product Authentication & Brand Protection
  • 6.7. Future Trends AI-empowered Product Authentication & Brand Protection
    • 6.7.1. AI-empowered Solutions & Blockchain

7. Healthcare – Pharmaceuticals Market

  • 7.1. Pharmaceuticals & Packaging
  • 7.2. Global Healthcare / Pharmaceutical Packaging Markets
    • 7.2.1. Vaccines
    • 7.2.2. Medical Specialty (incl. Blood) Bags
      • AI-empowered image recognition and computer vision – Blood Bags
    • 7.2.3. Pre-filled Syringes
      • AI-empowered image recognition and computer vision – Pre-filled Syringes
    • 7.2.4. Rapid Medical & Self Testing Diagnostic Kits
      • AI-empowered image recognition and computer vision – Rapid Medical & Self Testing Diagnostic Kits
    • 7.2.5. Veterinary Medicines
      • AI-empowered image recognition and computer vision – Veterinary medicine
    • 7.2.6. Contract Packing – Healthcare / Pharmaceutical Packaging
    • 7.2.7. Trends, Drivers & Challenges - Healthcare / Pharmaceutical Packaging
      • Telemedicine – The Shift from Hospitals to Home Care
      • Risk of Non-Compliance Patient Treatment & Clinical Trials
      • Sustainable Packaging - Healthcare / Pharmaceutical Packaging
    • 7.2.8. Distribution / eCommerce / Omnichannel - Healthcare
      • Institutional & Retail Pharmacies
      • Online Pharmacy - ePharmacy
      • ePharmacies – Broadening Services Offered
  • 7.3. AI-empowered Image Recognition Application in Healthcare / Pharma
    • Automated Quality Control & Inspection
    • Pharmaceutical Manufacturing and Development
    • Pill Identification and Safety
    • Galaxi.ai
    • PharmaLens
    • PillID
  • 7.4. Product Authentication & Brand Protection – Healthcare / Pharma
  • 7.5. Case Study - Healthcare / Pharma - Edgyn AdfirmiaTM
  • 7.6. Case Study - Clinical Trial Management using Smart Blisters - Janssen
  • 7.7. Opportunities - Healthcare – Pharmaceuticals

8. Luxury Fashion Accessories Market

  • 8.1. Market Size & Growth Forecasts - Luxury Fashion Accessories
    • 8.1.1. Market Drivers & Trends
  • 8.2. Market Size & Growth Forecasts -Luxury Re-sale
    • 8.2.1. Market Drivers & Trends – Luxury Re-sale
    • 8.3.2. AI-empowered system in the re-sale Luxury Market
    • 8.3.3. AI – Luxury
    • 8.3.4. Key Applications of AI-empowered Image Recognition in Luxury
  • 8.3. Case Study – Luxury Re-Sale – NanoMatriX
  • 8.4. Case Study - Furla Handbags and Accessories
  • 8.5. Case Study - Breitling Blockchain Dentsu
  • 8.6. Case Study – LMVH Patou
  • 8.7. Case Study - Christian Dior - An Early AI Adopter
  • 8.8. Other Luxury Brands using AI
    • 8.9.1. Other Examples - Re-sale Platforms
  • 8.9. Opportunities - Luxury Fashion Accessories

9. Apparel & Footwear Market

  • 9.1. Market Sizing & Growth Forecasts – Apparel & Footwear
  • 9.2. Market Sizing - eCommerce Apparel Market
  • 9.3. Case Studies – AI-empowered Product Authentication & Brand Protection
  • 9.4. Case Study - Burberry - Pioneering Virtual Experiences and Authenticity Checks
  • 9.5. Case Study - Zara AI Adoption & Supply Chain Management
  • 9.6. Case Study - Burberry / The RealReal Partnership - Supporting Sustainability Goals
  • 9.7. Opportunities – Apparel & Footwear

10. Beverages Market

  • 10.1. Market Sizing & Growth Forecasts
  • 10.2. Market Evolution - Alcoholic Drinks Packaging
    • 10.2.1. Structural Packaging Formats – Alcoholic Drinks
  • 11.3. Trends, Drivers & Challenges - Alcoholic Drinks
    • 11.3.1. Premiumisation of Packaging for Premium Alcoholic Drinks
  • 11.4. Applications for AI Image Recognition in Beverages
  • 11.5. Case Study - Eyrene's AI Image Recognition for Beverage Merchandising
  • 11.6. Case Study - Corsearch Draft Top – Brand Protection
  • 11.7. Case Study - Authentic Vision - Dreissigacker Fine Wine Authentication
  • 11.8. Case Study - NanoMatrix - Premium Wines in the Chinese Market
  • 11.9. Opportunities - Beverages

12. Beauty & Personal Care Market

  • 12.1. Market Size & Growth Forecasts
  • 12.2. Market Characteristics - Beauty & Personal Care
    • 12.2.1. Premium vs Mass Market
  • 12.3. Market Evolution -Beauty & Personal Care Packaging
  • 12.4. Market Drivers, Trends & Challenges
    • 12.4.1. Digital Consumer Engagement
    • 12.4.2. Personalisation
    • 12.4.3. Phygital Experiences – Wider Metaverse Movement
    • 12.4.4. Traditional vs Organic Products - Beauty & Personal Care
    • 12.4.5. Counterfeit Beauty & Personal Care Products
    • 12.4.6. Stock Control & Theft
    • 12.4.7. Wellness
    • 12.4.8. The Influence of Gen Z
    • 12.4.9. Economies of Scale - Beauty & Personal Care
    • 12.4.10. Sustainability - Beauty & Personal Care
    • 12.4.11. Regulatory Matters
  • 12.5. Applications for AI Image Recognition in Beauty & Personal Care
    • 12.5.1. Case Study - DynamicElement Fuji Seal’ Group & Dr Recella
    • 12.5.2. Case Study - Ennoventure –US FMCG Health & Beauty Brand
    • 12.5.3. Case Study – Ennoventure Leading FMCG Spice Brand
    • 12.5.4. Other Non- Brand Protection Applications
  • 12.6. Opportunities - Beauty & Personal Care

APPENDIX 1 - Planogram Compliance

APPENDIX 2 - Putian – China’s Capital of Counterfeit Footwear

APPENDIX 3 - Shein - A Leading Chinese Fast Fashion Brand

  • About Vandagraf International
  • The Vandagraf Approach & Method
  • Vandagraf Consultancy Projects & Multi-Client Reports
  • Vandagraf multi-client Reports
  • Author Profiles

VOLUME 2

  • 1.1. Product Authentication & Brand Protection & Solutions
  • 1.2. AI-based Product Authentication & Brand Protection Solutions
  • 2.1. Smart Phone
  • 2.2. Optical Character Recognition (OCR)
  • 2.3. Surface Feature Authentication
    • 2.3.1. Artificial Random Feature Generation
  • 2.4. Augmented Reality (AR)
    • 2.4.1. Authentique - Verify
    • 2.4.2. Entrupy
  • 2.5. Secure QR Codes and AI
    • 2.5.1. Some Key Players – AI Secure QR Codes
  • 2.6. Radio-Frequency Identification (RFID)
    • 2.6.1. Authentication using Cryptographically Protected NFC
    • 2.6.2. AI and RFID
  • 2.7. Blockchain and Web 3.0 Authentication
    • 2.7.1. Tokenisation and Digital Twins
    • 2.7.2. Some Key Players – Web 3.0 Players
  • 3.1. AI-empowered Image Search – aka ‘Visual Search’
  • 3.2. Key Technical Trends & Challenges
    • 3.2.1. Unique Manufacturing Fingerprints
    • 3.2.2. Deep Learning (DL) in Texture Recognition
    • 3.2.3. 3D Scanning and Modelling
    • 3.2.4. Micro-Laser Engraving Detection
    • 3.2.5. Surface Reflectance Profiling
    • 3.2.6. Textual and Serial Number Verification
    • 3.2.7. Predictive Counterfeit Modelling
    • 3.2.8. Time-Series Wear Analysis
  • 3.3. Some Key Players - Image Recognition & Search
    • 3.3.1. Eyrene
    • 3.3.2. Google Vision API
    • 3.3.3. Getty Images
    • 3.3.4. Malong Technologies - ProductAI™
    • 3.3.5. TinEye - WineEngine
  • 3.4. AI Image Recognition for Pill Identification
  • 3.5. AI Verification & Document Processing
    • 3.5.1. Some Key Players - AI Document Processing
  • 4.1. Brand Protection Agencies
  • 4.2. Some Key Players – AI-based ‘Digital Brand Protection’
    • 4.2.1. Alibaba
    • 4.2.2. Amazon Rekognition / Brand Registry / Project Zero
    • 4.2.3. AuthenticatePro
    • 4.2.4. Authentix Inc - BrandTrax™
    • 4.2.5. Corsearch
    • 4.2.6. Crane Authentication
    • 4.2.7. Forgestop - CHAISE
    • 4.2.8. Meta - Brand Rights Protection
    • 4.2.9. Marqvision (Aka MarkVision)
    • 4.2.10. Opsec – Visual AI
    • 4.2.11. Red Points
    • 4.2.12. Tracer
    • 4.2.13. Xian Yu
    • 4.2.14. Zhiduoshao
  • 5.1. On-Line Digital Authentication
  • 5.2. Some Key Players – ‘Physical’ Product Authenticators
    • 5.2.1. Authentifier
    • 5.2.2. Bababebi
    • 5.2.3. Dewu
    • 5.2.4. Entrupy
    • 5.2.5. LegitGrails
    • 5.2.6. Luxury Promise
    • 5.2.7. Official Authentication
    • 5.2.8. NabCore
    • 5.2.9. Real Authentication
    • 5.2.10. The RealReal - Luxury Re-sale – AI Authentication
    • 5.2.11. Vestiaire Collective
  • 5.3. Some Key Players – Non-Additive Surface Features
    • 5.3.1. Alitheon- Feature Print(R)
    • 5.3.2. AlpVision - FingerprintTM
    • 5.3.3. Bosch Secure Authentication - Origify
    • 5.3.4. Certilogo (part of eBay)
    • 5.3.5. DynamicElement
    • 5.3.6. Edgyn - Digital Fingerprint
    • 5.3.7. Inexto
    • 5.3.8. Veracity Protocol
    • 5.3.9. Visua
  • 5.4. Key Players –Additive Features
    • 5.4.1. AlpVision - Cryptoglyph(R)
    • 5.4.3. Crane Authentication - InsightPulse™
    • 5.4.4. Cypheme - Noise Print
    • 5.4.5. Ennoventure
    • 5.4.6. GSSC (Graphic Security Systems Corporation)
  • 6.1. Selected Players – AI-Data Analytics
    • 6.1.1. 3M Company
    • 6.1.2. Atlantic Zeiser
    • 6.1.3. Avery Dennison Corporation
    • 6.1.4. Brady Corporation
    • 6.1.5. CCL Industries
    • 6.1.6. HID Global Corp.
    • 6.1.7. J Patton
    • 6.1.8. Schreiner Protech
    • 6.1.9. SICPA SA
    • 6.1.10. Scribos -
    • 6.1.11. SML Group
    • 6.1.12. Sun Chemical (DIC Corp.)
  • 7.1. Digital Brand Protection / Product Authentication (On-Line)
  • 7.2. Physical Product Authentication
    • 7.2.1. Non-Additive Overt Natural Feature
    • 7.2.2. Non-Additive Covert Feature with a Secure Code
    • 7.2.3. Additive Covert Feature
    • 7.2.4. Additive Covert Feature with Secure Code
    • 7.2.5. Blockchain Tokenised Solutions
  • 8.1. Trend #1 Growing Importance of Brand Protection in a Digital World
  • 8.2. Trend #2 AI-empowered Blockchain & Web 3.0 Solutions
  • 8.3. Trend #3 Digital Tokens
  • 8.1. Trend #4 Adoption of Generative AI (GenAI)
  • 8.2. Trend #5 Disruptive Power of Visual-AI
  • 8.3. Trend #6 Predictive AI
  • 8.4. Trend #7 Quantum Computing and the Future of Cybersecurity

APPENDIX 1 Key Definitions

APPENDIX 2 The Fundamentals of AI Technology

  • Machine Learning (ML) Models
  • Deep Learning (DL) Methods
  • Artificial Neural Networks (ANNs)
  • Convolutional Neural Networks (CNNs or ConvNets)
  • Deep Learning (DL) versus ANNs – Differences
  • Back Propagation Algorithms
  • Supervised, Un-supervised, Self-supervised Learning
  • Metadata labelling / Annotation
  • Structured versus Unstructured Data Labelling
  • Metadata Labelling Methods
  • Training Data & Data Metadata labelling
  • Types of Training Data
  • Using Training Data for ML
  • Data Dependent Vulnerabilities - AI-powered Systems
  • Cloud-Based AI Systems
  • Core Technology Stack

APPENDIX 3 Types of AI

  • Narrow AI
  • Artificial General Intelligence (AGI)
  • Artificial Super-Intelligence (ASI)
  • Functionality-Based Types of Artificial Intelligence
    • Reactive Machine AI
    • Limited Memory AI
    • Theory of Mind AI
    • Self-aware AI
    • Autonomous AI (Agentic AI)
  • Physical AI

APPENDIX 4 Optical Character Recognition

  • What is OCR?
  • The Advantage of OCR
  • How OCR works
  • Pattern Recognition
  • Feature Detection (aka feature extraction or intelligent character recognition (ICR) )
  • How handwriting recognition works
    • Making it easy
    • What does OCR involve in practice?

APPENDIX 5 Augmented Reality (AR)

  • AR Applications
    • AR - ‘Always-On’ Approach
    • Trigger Technologies & Augmented Reality
    • Case Study – Omnichannel Call to Action – AR
    • Case Study- Bombay Sapphire – AR
    • Towards the Metaverse with AR
    • Immersive Experiences with AR
    • Creating Immersive Experiences
  • Luxury brands that have stepped up their game with AR
    • Final thoughts – AR
    • In Summary - AR

APPENDIX 6 Image Recognition Technology

  • Top Models and Algorithms in Image Recognition
    • Popular AI Image Recognition Algorithms
  • Tools for Image Recognition
    • How to Apply AI Image Recognition Models
    • Training a Custom Model

VOLUME 1 - World Markets - Opportunities & Trends

List of Tables

AI-empowered Image Recognition Product Authentication, Brand Protection & Smart Packaging Applications – Volume 1: World Markets Opportunities & Trends

  • Table 1 Market Verticals Covered in this Report with Product Categories
  • Table 2 Some Key Applications for Image Recognition Solutions
  • Table 3 Image Recognition - Breakdown by Type of Application in 2025
  • Table 4 Global Image Recognition Market Evolution
  • Table 5 Global Market Summary – Related Technologies
  • Table 6 Product Authentication & Brand Protection Market Sizing Evolution
  • Table 7 Breakdown of Global Markets - Prescription / OTC Pharmaceuticals
  • Table 8 Segmentation – Healthcare Packaging
  • Table 9 Evolution of Global Healthcare / Packaging Markets
  • Table 10 Evolution of the Global Healthcare Blister Packaging Market
  • Table 11 Evolution of Global Vaccine Markets
  • Table 12 Evolution of Global Vaccine Packaging Markets
  • Table 13 Evolution of Medical Specialty Bag & Pouches Markets
  • Table 14 Evolution of Global Disposable plastic blood bag Market
  • Table 15 Evolution of the Global Market for Pre-filled Syringes (Value)
  • Table 16 Evolution of the Global Market for Pre-filled Syringes (Volume)
  • Table 17 Evolution of Rapid Medical & Self Testing Diagnostic Kits Markets
  • Table 18 Evolution of Global Healthcare Contract Packing Markets
  • Table 19 Evolution of Global Healthcare Online Pharmacy – ePharmacy Markets
  • Table 20 Opportunities by Type of AI Imaged-based Solution – Healthcare/Pharma
  • Table 21 Evolution of Global Luxury Goods - Accessories, Watches & Jewellery
  • Table 22 Global Luxury Re-sale market
  • Table 23 Usage of AI by Luxury Brands
  • Table 24 Luxury brands - Use of AI, AR/VR, IoT & Blockchain
  • Table 25 NanoMatrix NFC/AI Solution for an International Luxury Accessories Manufacturer
  • Table 26 Opportunities by Type of AI Imaged-based Solution – Luxury Accessories
  • Table 27 Evolution of the Global Apparel Market – 2025 to 2030
  • Table 28 Sportswear (Apparel & Footwear) – Global – Evolution of the Market – 2025 to 2030
  • Table 29 The Global Footwear Market
  • Table 30 The Global Sneakers Market
  • Table 31 eCommerce Apparel Market
  • Table 32 Use of AI by Luxury Brands
  • Table 33 How Luxury Brands use AI, AR/VR/IoT/Blockchain to supplement their Brand Protection Strategies 122
  • Table 34 Opportunities by Type of AI Imaged-based Solution - Apparel & Footwear
  • Table 35 Evolution of Global Alcoholic Drinks Markets by Value – by Product Category
  • Table 36 Evolution of Global Alcoholic Drinks Markets by Volume
  • Table 37 Evolution of Global Alcoholic Drinks Packaging Markets by Value
  • Table 38 Evolution of Global Packaging Volumes - Number of Packs - Drinks Packaging
  • Table 39 Typical Structural Packaging Formats – Wines & Spirits
  • Table 40 Price Ranges – Prestige, Ultra through to Value Brands
  • Table 41 Opportunities by Type of AI Imaged-based Solution – Beverages
  • Table 42 Product Categories in the Beauty and Personal Care Market
  • Table 43 Evolution of Global Beauty and Personal Care Products
  • Table 44 Global Evolution of Premium vs Mass Beauty & Personal Care Products
  • Table 45 Packaging Unit Volumes - Number of Packs - Beauty & Personal Care Packaging
  • Table 46 Counterfeiting & Piracy Losses by Value in 2025 – Beauty & Personal Care
  • Table 47 Impact Analysis – Ennoventure Deployment
  • Table 48 Comparison between a Reactive and a Proactive Anti-Counterfeit Strategy
  • Table 49 Financial Impact of Ennoventure’s Deployment
  • Table 50 Opportunities by Type of AI Imaged-based Solution – Beauty & Personal Care

List of Figure

  • Figure 1 The Technical Evolution of Physical Brand Protection Solutions
  • Figure 2 Adfirmia™ Digital Fingerprint Technology on a Medicine Blister Pack
  • Figure 3 Adfirmia™ Smart Phone Authentication
  • Figure 4 Janssen Smart Adherence Blister Pack with Smartphone
  • Figure 7 Furla Handbag Validated by Opsec’s Visual AI
  • Figure 8 Accessing the Breitling NFT via a Smartphone
  • Figure 9 Authentique Vision AI in Use on a Range of Different Materials
  • Figure 10 Key Features of Eyrene’s AI Image Recognition Solution for Product Merchandising
  • Figure 11 Key Outcomes of Eyrene’s AI Image Recognition Solution
  • Figure 12 The Draft Top Product
  • Figure 13 Holographic Fingerprint™ for Wines
  • Figure 14 Benefits for Wines and Spirits - Holographic Fingerprint™.
  • Figure 15 Geolocation of Counterfeit Activity - Holographic Fingerprint™
  • Figure 16 NanoMatrix Smart NFC Tag Tamper Solution to Protect Premium Wines & Spirits
  • Figure 17 DeepIS Print Surface Conditions that are Analysed by AI Algorithms
  • Figure 18 Smart Phone Authentication using Deep IS®
  • Figure 19 Smart Phone Authentication using Deep IS®
  • Figure 20 Examples of Products at Risk – Health & Beauty
  • Figure 21 Examples of Products at Risk – Spices and Health Products

VOLUME 2 - Enabling Technologies & Key Players

List of Tables

  • Table 1 Major Non-Digital Technology Groups for Brand Protection– Attributes Compared
  • Table 2 Security Technologies by Levels of Defence (I)
  • Table 3 Security Technologies by Levels of Defence (II)
  • Table 4 Radio / Electronic vs. Optical Platforms – Functionality Type
  • Table 5 Key AI-based Brand Protection & Product Authentication Solutions
  • Table 6 Other AI-based Brand Protection & Product Authentication Solutions
  • Table 7 On-Line Brand Protection / Product Authentication – Some Key Players
  • Table 8 Non-Additive Overt Natural Feature- Some Key Players
  • Table 9 Non-additive, Natural Covert Features with a Secure Code - Some Key Players
  • Table 10 Additive Covert Features - Some Key Players
  • Table 11 Additive Covert Feature with Secure Code - Some Key Players
  • Table 12 Blockchain Tokenised Solutions - Some Key Players
  • Table 13 The Key Features of Different Types of AI
  • Table 14 Types of Players in the Emerging AR Supply Chain
  • Table 15 Augmented Reality – Technical Functionality – Some Major Suppliers
  • Table 16 Omnichannel Call to Action – AR – Carlton Dry Beer
  • Table 17 Call to Action – AR – Bombay Sapphire - Experiential

List of Figure

  • Figure 1 Authentique’s Verify App on a Patou Handbag
  • Figure 2 Yellow Label’s Multi-layered AI Authentication
  • Figure 3 Yellow Label’s Lock & Key Approach to Verification
  • Figure 4 AlpVision’s Secured QR Code
  • Figure 5 Digmarc’s QR Code Digital Watermark Authentication Solution
  • Figure 6 A Typical Consumer Pack Today bearing Multiple Bar Code or QR Data Labels
  • Figure 7 Edgyn’s 2027 Vision for a Single Augmented QR on Cosmetics Packaging
  • Figure 8 A Schematic of ARVO’s Cloud-based Model
  • Figure 9 ARVO Non-Clonable and Copy-Proof QR Codes
  • Figure 10 Tamper-Proof & Non-Clonable Labels PHANTOM Tamper-Evident Labels
  • Figure 11 NOVA: Non-Clonable Optical Verification
  • Figure 12 SPECTOR: Subtle Pattern Watermarking
  • Figure 13 ZORA: Zero-Clone Optical Recognition
  • Figure 14 The AI Generated Security Feature in QR Fingerprint(R)
  • Figure 15 Smart Phone Authentication with QR Fingerprint(R) on a Consumer Product
  • Figure 16 The NeuroTags Label
  • Figure 17 The NeuroTags Authentication Process
  • Figure 18 Geo-Location-Based Red-Flagging with NeuroTags
  • Figure 19 Scantrust Secure QR Code
  • Figure 20 Type of Microscopic Variation that Occur in Printed Barcodes
  • Figure 21 Authentic Vision Holographic Fingerprint™
  • Figure 22 Merck KGaA Securalic Ink - SEC-Reader
  • Figure 23 Merck KGaA’s IMP Reader for p-chips
  • Figure 24 Search by Image - Enabling Shoppers to Search for Products without Text
  • Figure 25 Unique Manufacturing Fingerprints
  • Figure 26 DL in Texture Recognition
  • Figure 27 3D Scanning and Modelling of a Luxury Sneaker
  • Figure 28 ProductAI™ Image Recognition
  • Figure 29 Teikametrics Dashboard
  • Figure 30 Corsearch AI-enabled Counterfeit Detection
  • Figure 31 IFA Celtics: Mexico’s First Pharmaceutical Company to Deploy ForgeStop's NFC Anti-Counterfeit Technology
  • Figure 32 MarqVision Catches the Hardest-to-Find Fakes
  • Figure 33 Example of an Authentifier Validation Certificate
  • Figure 34 Dewu Platform Features: Promoting luxury brands and Chinese designers
  • Figure 35 Entrupy’s Optical Device for Smart Phone Authentication on a Luxury Handbag
  • Figure 36 Example of an Official Authentication Validation Certificate
  • Figure 37 Example of an Real Authentication Validation Certificate
  • Figure 38 Examples of the Range of luxury handbags Authenticated by The RealReal
  • Figure 39 A top-down shot of a designer scarf with a complex, colourful pattern
  • Figure 40 Selection of Products that can be authenticated by Alitheon’s FeaturePrint
  • Figure 41 AlpVision FingerprintTM Technology in Action
  • Figure 42 The Origify Table-top Camera for Gathering Original Images of the Product
  • Figure 43 The Origify Smart Phone Authentication App
  • Figure 44 Authenticating a Luxury Watch with the Origify App
  • Figure 64 Certilogo’s ‘Secure by Design
  • Figure 65 AI is at the heart of Certilogo’s AI-empowered Authentication Solution
  • Figure 45 Dynamic Element’s Surface Feature Fingerprint
  • Figure 46 Capturing Product Surface Features on a Product Line
  • Figure 47 Assigning a Product Identity
  • Figure 48 Product Authentication
  • Figure 49 Re-Verifying Products with DynamicElement where Surface Features change over time
  • Figure 50 Edgyn’s DynamicElement on a Perfume Bottle
  • Figure 51 End-to-end Traceability and Authentication
  • Figure 52 Adfirmia™ Smartphone Authentication
  • Figure 53 Signoptic™ Authentication using a Bespoke SURE Reader
  • Figure 54 The Original Arjo Signoptic™ Authentication using the SAFE Smartphone App
  • Figure 55 Intexto’s Imprint Solution
  • Figure 56 Revolutionising Product Authentication
  • Figure 57 Intexto’s Inextrust Solution
  • Figure 58 Veracity Protocol’s Secure Scan Interface (SSI)
  • Figure 59 Veracity Protocol Smart Phone Authentication
  • Figure 60 Output from VISUA’s Logo Detection App
  • Figure 61 VISUA’s Hologram Authentication in Action
  • Figure 62 How Cryptoglyph(R) works
  • Figure 63 Cryptoglyph(R) Layer over a Pharmaceuticals Pack
  • Figure 66 Cypheme Noise Print Tag on a Health & Beauty Product
  • Figure 67 Invisible Ennoventure Signatures in Action
  • Figure 68 GSSC’s BrandMark(R) Security Technology
  • Figure 69 SI(R) Steganography Stamp Decoder App
  • Figure 70 Hologram SI(R) Verification in Action
  • Figure 71 A typical range of security features in labels offered by JPatton
  • Figure 72 A Scribos 360 Heat Map
  • Figure 73 Scribos 360 Dashboard Product Authentication
  • Figure 74 A Scribos 360 Gray Market Trading Alert
  • Figure 75 A Scribos 360 Gray Market Trading Alert
  • Figure 76 Generative AI is over Gartner’s Peak of Inflated Expectations
  • Figure 77 Positioning Deep Learning in AI
  • Figure 78 Image Recognition for Product Counting in Retail
  • Figure 79 AI image recognition with object detection and classification using DL
  • Figure 80 A custom model for Image Segmentation - every player is detected as an individual
  • Figure 81 Edge Computer Vision: Processing workloads at the network edge
  • Figure 82 Image Recognition Development with the platform Viso Suite
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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