bender/3330a590-dbcc-4c54-9bc5-000081774bfe
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Merge version_1 into main

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Merge version_1 into main
This commit was merged in pull request #1.
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bender
2026-03-10 04:07:51 +00:00
parent a4c686f325 06a7cfc25d
commit aee2d9c8e7
2 changed files with 1377 additions and 10 deletions
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1367
src/app/layout.tsx
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src/app/page.tsx
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@@ -57,7 +57,7 @@ export default function LandingPage() {
{
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/a-sophisticated-facial-recognition-dashb-1773115623704-81c91287.png", imageAlt: "Facial Recognition Dashboard Interface"},
{
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/advanced-analytics-dashboard-showing-fac-1773115625236-6579be17.png", imageAlt: "Performance Metrics and Analytics"},
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/advanced-analytics-dashboard-showing-fac-1773115625236-6579be17.png?_wi=1", imageAlt: "Performance Metrics and Analytics"},
]}
mediaAnimation="slide-up"
rating={5}
@@ -74,13 +74,13 @@ export default function LandingPage() {
tagAnimation="slide-up"
features={[
{
id: "real-time", title: "Real-Time Detection", description: "Detect and recognize faces instantly from live camera feeds with ultra-low latency processing.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/real-time-facial-recognition-processing--1773115624008-ad062fc8.png", imageAlt: "Real-Time Multi-Camera Processing"},
id: "real-time", title: "Real-Time Detection", description: "Detect and recognize faces instantly from live camera feeds with ultra-low latency processing.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/real-time-facial-recognition-processing--1773115624008-ad062fc8.png?_wi=1", imageAlt: "Real-Time Multi-Camera Processing"},
{
id: "lighting-robust", title: "Lighting Adaptive", description: "Maintain high accuracy across varying lighting conditions, angles, and facial expressions.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/showcase-of-facial-recognition-robustnes-1773115624828-7481bc60.png", imageAlt: "Facial Recognition Lighting Variations"},
id: "lighting-robust", title: "Lighting Adaptive", description: "Maintain high accuracy across varying lighting conditions, angles, and facial expressions.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/showcase-of-facial-recognition-robustnes-1773115624828-7481bc60.png?_wi=1", imageAlt: "Facial Recognition Lighting Variations"},
{
id: "gan-enhanced", title: "GAN Data Augmentation", description: "Generate synthetic training images to expand dataset diversity and improve recognition robustness.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/abstract-visualization-of-gan-based-data-1773115624170-83ec4f45.png", imageAlt: "GAN-Based Data Augmentation Process"},
id: "gan-enhanced", title: "GAN Data Augmentation", description: "Generate synthetic training images to expand dataset diversity and improve recognition robustness.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/abstract-visualization-of-gan-based-data-1773115624170-83ec4f45.png?_wi=1", imageAlt: "GAN-Based Data Augmentation Process"},
{
id: "transfer-learning", title: "Transfer Learning", description: "Leverage pre-trained CNN models for rapid deployment and reduced training time.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/conceptual-representation-of-transfer-le-1773115624184-a98d8069.png", imageAlt: "Transfer Learning Architecture"},
id: "transfer-learning", title: "Transfer Learning", description: "Leverage pre-trained CNN models for rapid deployment and reduced training time.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/conceptual-representation-of-transfer-le-1773115624184-a98d8069.png?_wi=1", imageAlt: "Transfer Learning Architecture"},
]}
gridVariant="bento-grid"
animationType="slide-up"
@@ -138,11 +138,11 @@ export default function LandingPage() {
{
id: "input", title: "Image Input Module", description: "Accept facial images from datasets, cameras, or API endpoints with flexible format support.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/facial-recognition-security-verification-1773115624142-50e24bba.png", imageAlt: "Image Input Processing"},
{
id: "augmentation", title: "GAN Augmentation", description: "Generate diverse synthetic facial variations to enhance training dataset quality and coverage.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/abstract-visualization-of-gan-based-data-1773115624170-83ec4f45.png", imageAlt: "GAN Data Augmentation"},
id: "augmentation", title: "GAN Augmentation", description: "Generate diverse synthetic facial variations to enhance training dataset quality and coverage.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/abstract-visualization-of-gan-based-data-1773115624170-83ec4f45.png?_wi=2", imageAlt: "GAN Data Augmentation"},
{
id: "training", title: "Model Training", description: "Train CNNs using transfer learning with both original and synthetic images for optimal accuracy.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/conceptual-representation-of-transfer-le-1773115624184-a98d8069.png", imageAlt: "Model Training Process"},
id: "training", title: "Model Training", description: "Train CNNs using transfer learning with both original and synthetic images for optimal accuracy.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/conceptual-representation-of-transfer-le-1773115624184-a98d8069.png?_wi=2", imageAlt: "Model Training Process"},
{
id: "recognition", title: "Face Recognition", description: "Identify and match detected faces against trained dataset with confidence scoring.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/advanced-analytics-dashboard-showing-fac-1773115625236-6579be17.png", imageAlt: "Recognition Results"},
id: "recognition", title: "Face Recognition", description: "Identify and match detected faces against trained dataset with confidence scoring.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/advanced-analytics-dashboard-showing-fac-1773115625236-6579be17.png?_wi=2", imageAlt: "Recognition Results"},
]}
gridVariant="four-items-2x2-equal-grid"
animationType="blur-reveal"
@@ -167,10 +167,10 @@ export default function LandingPage() {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/success-metrics-and-kpi-visualization-sh-1773115625003-4c976c3c.png", imageAlt: "James Chen"},
{
id: "3", name: "Elena Rodriguez", role: "Director of Operations", company: "SmartSecurity Solutions", rating: 5,
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/real-time-facial-recognition-processing--1773115624008-ad062fc8.png", imageAlt: "Elena Rodriguez"},
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/real-time-facial-recognition-processing--1773115624008-ad062fc8.png?_wi=2", imageAlt: "Elena Rodriguez"},
{
id: "4", name: "Michael Zhang", role: "Product Manager", company: "BiometricTech Inc", rating: 5,
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/showcase-of-facial-recognition-robustnes-1773115624828-7481bc60.png", imageAlt: "Michael Zhang"},
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AjomZPI8FpSPdbgEAGpoao08WY/showcase-of-facial-recognition-robustnes-1773115624828-7481bc60.png?_wi=2", imageAlt: "Michael Zhang"},
]}
kpiItems={[
{ value: "500+", label: "Enterprise Deployments" },