AI影像識別：產品認證、品牌保護和智慧包裝應用

本報告的目的和範圍

本報告探討了人工智慧解決方案如何與市場上現有的各種安全解決方案和設備共存，或在很大程度上取代它們。報告涵蓋的現有技術包括：

• 無線技術和光學技術
• 傳統的第一層、第二層和第三層防護措施

本報告目的是幫助所有相關利益者做到以下幾點：

• 闡明這套極具顛覆性和變革性的技術所帶來的影響、益處、要求、機會和威脅。
• 制定最新的藍圖，以支援制定最佳策略和可操作的智慧包裝計劃。

本報告範圍

本報告涵蓋全球市場，分析了人工智慧影像識別解決方案在品牌產品認證和保護領域的發展趨勢和市場機會。報告重點在於以下五個被認為具有巨大潛力的垂直市場：

• 1.服裝和鞋類
• 2.高階時尚配件（二手）
• 3.醫療保健
• 4.飲料
• 5.美容和個人護理

這些垂直市場涵蓋了多種產品類型，每個類別都有其獨特的特點，創造了許多潛在的商機，如下表所示：

市場區隔/產品類型

• 服裝和鞋類
  • 高級時裝、快時尚、運動服、非運動服
• 奢華時尚配件
  • 皮革製品、行李箱、女士手提包
• 衛生保健
  • 成藥、醫療設備（例如，預填充式注射器、其他藥物分配器）
• 飲料
  • 含酒精飲料、不含酒精飲料、流質食品
• 美容及個人護理
  • 香水、化妝品、盥洗用品

本報告內容

本報告包含以下詳細分析和評估：

• 全球基於影像識別的產品認證和品牌保護解決方案市場：結果與預測
• 支持市場快速演變和發展的新技術和理念，以及這些技術協同作用促進成長的機制。
• 對相關利益者（品牌所有者、零售商、執法機關、海關等）的潛在好處：包裝/元資料標籤、線上網路安全優勢等。
• 深入了解人工智慧驅動的品牌保護解決方案

透過大量的案例研究，闡明了實際和潛在的應用領域、技術和解決方案以及可用能力的範圍。

目錄

第一卷

第1章 引言

第2章 執行摘要

第3章 產品相關犯罪：勢不可擋的擴張

• 供應鏈：通往市場的途徑
• 多種形式的產品相關犯罪
• 造假者使用的先進技術
  • 先進的3D列印技術
  • 擴增實境（AR）和虛擬實境（VR）
  • 深度學習（DL）和人工智慧
  • 人工智慧產生的超高模擬假貨（超級假貨）
  • 合成生物學和生物農業
  • 區塊鏈和加密資產

第4章 影像識別：概述與市場狀況

• 目的
  • 影像識別和影像處理
  • 影像識別和影像檢測
  • 視覺搜尋
• 市場規模
  • 美國
  • 歐洲
  • 亞太地區

第5章 基於人工智慧的影像識別

• 人工智慧影像識別的重要性
• 人工智慧影像處理的主要應用
  • 仿冒品檢測
  • 零售業中的人工智慧
• 促進因素和趨勢
  • 宏觀趨勢
• 人工智慧影像處理解決方案的優勢
  • 效率
  • 客戶體驗
  • 降低成本
  • 持續學習和改進的重要性
• 挑戰與限制：人工智慧影像識別
  • 資料孤島
  • 高昂的投資成本和導入成本
  • 技能差距
  • 偏見與公平：訓練資料
  • 隱私問題
  • 技術挑戰
• 收集用於基於人工智慧影像的產品認證和品牌保護的訓練資料。
  • 消費者參與：資料收集的關鍵
  • 消費者互動模式
  • 提升消費者參與度：優先事項
  • 邁向群眾外包

第6章 產品認證與品牌保護解決方案

• 產品認證
  • 智慧型手機認證
• 品牌保護
• 產品認證和品牌保護解決方案的分類
• 利用人工智慧進行產品認證和品牌保護
• 多種安全功能/基於設備的方法
• 市場規模：產品認證與品牌保護
• 未來趨勢：人工智慧驅動的產品認證和品牌保護

第7章 醫療保健：藥品市場

• 藥品和包裝
• 全球醫療保健/藥品包裝市場
  • 疫苗
  • 醫療用品（包括血袋）
  • 預填充式注射器
  • 快速醫療和自測診斷試劑盒
  • 動物用藥品
  • 合約包裝：醫療保健/藥品包裝
  • 趨勢、促進因素、挑戰
  • 分銷/電子商務/全通路
• 人工智慧影像識別在醫療保健/製藥領域的應用
  • 自動化品管和檢測
  • 藥物生產和研發
  • 片劑識別與安全
• 產品認證和品牌保護
• 案例研究：Edgyn Adfirmia（TM）
• 案例研究：利用智慧泡殼進行臨床試驗管理：Janssen
• 市場機會

第8章 奢華時尚配件市場

• 市場規模和成長預測
• 二手奢侈品市場：市場規模及成長預測
  • 市場促進因素和趨勢
  • 人工智慧驅動的系統在二手奢侈品市場的應用
  • 人工智慧在二手奢侈品交易領域的應用
  • 人工智慧影像識別在二手奢侈品交易領域的應用：主要應用案例
• 案例研究：NanoMatriX
• 案例研究：Furla Handbags and Accessories
• 案例研究：Breitling Blockchain Dentsu
• 案例研究：LVMH Patou
• 案例研究：Christian Dior：人工智慧的早期採用者
• 其他利用人工智慧的奢侈品牌
• 市場機會

第9章 服裝和鞋類市場

• 市場規模和成長預測
• 電子商務服飾市場規模
• 案例研究：人工智慧驅動的產品認證和品牌保護
• 案例研究：Burberry：虛擬體驗和真偽驗證的先驅方法
• 案例研究：Zara：人工智慧實施與供應鏈管理
• 案例研究：Burberry/The RealReal 合作：支持永續發展目標
• 市場機會

第10章 飲料市場

• 市場規模和成長預測
• 市場演變：酒精飲料包裝
• 趨勢、促進因素、挑戰
• 人工智慧影像識別在飲料行業的應用
• 案例研究：Eyrene 的AI影像識別在飲料商品行銷的應用
• 案例研究：Corsearch Draft Top：品牌保護
• 案例研究：Authentic Vision：Dreissigacker的優質葡萄酒認證
• 案例研究：NanoMatrix：中國高階葡萄酒市場
• 市場機會

第12章 美容及個人護理市場

• 市場規模和成長預測
• 美容及個人護理市場的特點
• 市場演變：美容及個人護理包裝
• 市場促進因素、趨勢與挑戰
• 人工智慧影像識別在美容和個人護理領域的應用
• 市場機會

附錄1：陳列圖合規性

附錄2：Putian - 中國假鞋之都

附錄3：Shein - 中國領先的快時尚品牌

第二卷

• 產品認證、品牌保護解決方案
• 人工智慧驅動的產品認證和品牌保護解決方案
• 智慧型手機
• 光學字元辨識（OCR）
• 表面特徵認證
• 擴增實境（AR）
• 安全的QR碼和人工智慧
• RFID
• 區塊鏈和Web 3.0身份驗證
• AI圖像搜尋：也稱為「視覺搜尋」
• 主要技術趨勢和挑戰
  • 製造過程中產生的獨特指紋
  • 紋理辨識中的深度學習
  • 3D掃描和建模
  • 微雷射雕刻檢測
  • 表面反射率輪廓分析
  • 文字和序號檢驗
  • 偽造預測模型
  • 時間序列磨損分析
• 主要公司：影像識別和搜尋
  • Eyrene
  • Google Vision API
  • Getty Images
  • Malong Technologies - ProductAI（TM）
  • TinEye - WineEngine
• 用於平板電腦識別的人工智慧影像識別
• 人工智慧驅動的檢驗和文件處理
  • 主要公司：人工智慧文件處理
• 品牌保護機構
• 領先企業：基於人工智慧的「數位品牌保護」
  • Alibaba
  • Amazon Rekognition / Brand Registry / Project Zero
  • AuthenticatePro
  • Authentix Inc - BrandTrax（TM）
  • Corsearch
  • Crane Authentication
  • Forgestop - CHAISE
  • Meta - Brand Rights Protection
  • Marqvision（Aka MarkVision）
  • Opsec - Visual AI
  • Red Points
  • Tracer
  • Xian Yu
  • Zhiduoshao
• 線上數位認證
• 主要公司：實體產品認證系統
  • Authentifier
  • Bababebi
  • Dewu
  • Entrupy
  • LegitGrails
  • Luxury Promise
  • Official Authentication
  • NabCore
  • Real Authentication
  • The RealReal - Luxury Re-sale - AI Authentication
  • Vestiaire Collective
• 主要公司：非添加型表面功能
  • Alitheon- Feature Print（R）
  • AlpVision - FingerprintTM
  • Bosch Secure Authentication - Origify
  • Certilogo（part of eBay）
  • DynamicElement
  • Edgyn - Digital Fingerprint
  • Inexto
  • Veracity Protocol
  • Visua
• 主要公司：附加功能
  • AlpVision - Cryptoglyph（R）
  • Crane Authentication - InsightPulse（TM）
  • Cypheme - Noise Print
  • Ennoventure
  • GSSC（Graphic Security Systems Corporation）
• 主要公司：人工智慧資料分析
  • 3M Company
  • Atlantic Zeiser
  • Avery Dennison Corporation
  • Brady Corporation
  • CCL Industries
  • HID Global Corp.
  • J Patton
  • Schreiner Protech
  • SICPA SA
  • Scribos -
  • SML Group
  • Sun Chemical（DIC Corp.）
• 數位品牌保護/產品認證（線上）
• 實體產品認證
• 趨勢1：品牌保護在數位世界中的重要性日益凸顯
• 趨勢2：人工智慧驅動的區塊鏈和Web 3.0解決方案
• 趨勢3：數位代幣
• 趨勢4：引進生成式AI
• 趨勢5：視覺人工智慧的破壞力
• 趨勢6：預測性人工智慧
• 趨勢7：量子運算與網路安全的未來

附錄1：關鍵術語定義

附錄2：人工智慧技術基礎

附錄3：人工智慧的類型

附錄4：OCR

附錄5：擴增實境（AR）

附錄6：影像識別技術

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