Automation7
Industrial Vision · UK
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// TOMATO AI INSPECTOR — LIVE DEMO

TOMATO INSPECTOR

Real-time defect detection for tomato quality control. Our YOLOv8 model identifies 10 pathology classes — from ripeness stages to diseases — in under 300ms per image.

YOLOv8 10 Classes 97.1% mAP50 Real-time Demo Active
95.8%
Industrial Reliability
Precision rate in high-speed sorting
12+
Detection Classes
Pathologies, ripeness & debris
< 100ms
Latency Per Unit
Real-time edge processing
15K+
Proprietary Dataset
Curated samples for high-export quality

Live Scan Gallery

SCAN_0001
Tomato scan 1
half_ripe ripe ×3 unripe ×3
Mixed Ripeness
7 detections · conf ≥ 0.25
SCAN_0002
Tomato scan 2
brown_rugose ×3 ripe ×11
Disease Detected
14 detections · ALERT
SCAN_0003
Tomato scan 3
anthracnose ×2 rotten ×1
Defects Found
3 detections · REJECT
SCAN_0004
Tomato scan 4
ripe ×4
Premium Quality
4 detections · APPROVED
SCAN_0005
Tomato scan 5
half_ripe ×1 ripe ×5
Near Ripe
6 detections · MONITOR
SCAN_0006
Tomato scan 6
unripe ×5
Unripe Lot
5 detections · HOLD

// CLICK ANY IMAGE TO EXPAND — REAL MODEL OUTPUT — NO FILTERS APPLIED

What We Detect

Ripe

Optimal harvest condition. Ready for market or processing.

mAP50 89.8%

Unripe

Green, not ready. Requires additional maturation time.

mAP50 89.3%

Half Ripe

Transitional stage. Separate for delayed distribution routes.

mAP50 80.7%

Rotten

Decomposition detected. Immediate rejection required.

mAP50 72.0%

Mold

Fungal growth present. Cross-contamination risk.

mAP50 82.8%

Anthracnose

Fungal disease causing sunken lesions. Quarantine protocol.

mAP50 61.4%

Fruit Cracking

Physical damage from irregular watering. Reduces shelf life.

mAP50 70.8%

Brown Rugose

Viral disease. Highly contagious — full lot inspection required.

mAP50 50.0%

Blossom End Rot

Calcium deficiency disorder. Not contagious but reduces value.

mAP50 76.1%

Sunscald

Sun damage causing white/yellow patches. Cosmetic defect.

mAP50 44.8%

Inspection Process

01

Capture

Photograph the tomato lot using any camera — industrial Hikrobot, smartphone, or IP camera. No special setup required.

02

Analyse

YOLOv8 model processes each image in under 300ms, identifying every tomato and classifying its condition with bounding boxes.

03

Verdict

System issues Approve / Monitor / Reject decision based on configurable defect thresholds for your operation.

04

Report

Automatic PDF report with lot statistics, defect breakdown, annotated images and timestamp for full traceability documentation.

Test With Your
Own Tomatoes

Want to test our AI with photos from your own operation? Reply to our email with the word DEMO and we will activate a personalised 24-hour access link for your company.

y activaremos un enlace de acceso personalizado de 24 horas para su empresa.

Upload your own photos — use images from your current lot for a real-world test

Live detection results — see bounding boxes and classifications in real time

Downloadable PDF report — keep a sample quality report from your own data

No installation required — runs fully in the browser, any device

REQUEST_DEMO_ACCESS

// To guarantee performance and data security, we activate personalised processing instances for each company.

STEP_01 / SEND_EMAIL

Email us at contacto@thepezgroup.com with subject line:
"DEMO — [Your Company Name]"

con asunto:
"DEMO — [Nombre de su Empresa]"

STEP_02 / RECEIVE_LINK

We activate your personalised access within 24 hours and send you a secure link with your company credentials.

STEP_03 / RUN_INSPECTION

Upload your own tomato photos and get instant AI analysis with full PDF report — free of charge.

contacto@thepezgroup.com

¿Quieres una demo con tus tomates?

Evaluamos el sistema con muestras reales de tu operación. Sin compromiso.