AI-Powered Vision Analytics Platform

AI-Powered Vision Analytics Platform

DeepVi is a No-Code, End-to-End AI Vision Platform that handles everything from data collection to model deployment and automated retraining — all within a single platform. No dedicated development team required: field operators can run the full labeling, training, inference, and review cycle themselves. It supports both on-premises and cloud deployments and provides a universal pipeline ready for immediate use across industries — including manufacturing, smart farming, logistics, and security.

What You Can Do with DeepVi

Build a 24/7 Real-Time AI Inspection Line

• Unmanned automated inspection — no gaps at night or on weekends
• Instant end-to-end processing: from real-time image preprocessing to inference
• Real-time on-screen display of defect location, type, and confidence score
• Inspection results automatically logged with conditional search and retrieval

Label, Train, and Run Inference Yourself — No Coding Needed

• Intuitive web-based UI — non-experts can start labeling right away
• All 3 labeling types supported: Classification · Detection · Segmentation
• One-click training after setting hyperparameters and data distribution
• Same pipeline across all industries — deploy to the field immediately

Eliminate Repetitive Delays with an Automated MLOps Cycle

• End-to-end automation: from dataset management to model deployment
• After false-positive review and re-labeling, new models are auto-generated and compared before deployment
• MLOps-based automated retraining and deployment pipeline
• Sustained model performance through data anomaly detection and recovery

Cut Costs and Strengthen Security — On-Premise or Cloud

• Flat-rate license — no cloud usage-based billing
• On-premises mode keeps all processing on internal servers — no external data transfer
• No separate maintenance needed: automated retraining loop continuously improves performance
• Scale out on-premises by simply adding servers

Application Areas

🏭 Manufacturing (Quality Inspection)

❌ Inspector fatigue & misjudgment · Skilled workforce required
→ ✅ 24h real-time camera detection · Precise defect location & type classification

• Precise automated quality inspection — no visual fatigue
• Unmanned 24h inspection line operation
• Defect type classification: scratches, scales, pores, and more
• Automated dimensional measurement
• Automatic DB logging and retrieval of inspection results

🌱 Smart Farm

❌ Pest spread before it’s caught · Insufficient staff for large-area monitoring
→ ✅ Early automated pest detection · Wide-area real-time monitoring

• Early pest detection with automatic location and type identification
• Segmentation analysis by plant growth stage
• Wide-area real-time camera monitoring
• Data-driven regular prediction of growth index and yield

🚚 Logistics

❌ Large sorting & inspection workforce · Manual fallback for damaged barcodes
→ ✅ Real-time automated conveyor sorting · Automatic label & barcode defect detection

• Automated product sorting — real-time conveyor camera integration
• Barcode and label defect detection with automatic DB logging
• Real-time detection and alerts for expiration date anomalies
• Conditional search of defect history by equipment

🔒 Security & Monitoring

❌ Dedicated CCTV staff on duty at all times · Real-time anomaly detection not feasible
→ ✅ Automatic anomaly & object detection · Unmanned 24h CCTV auto-classification

• Real-time abnormal behavior detection with confidence score filtering
• Unmanned 24h CCTV analysis and automatic event type classification
• Automatic object classification: people, vehicles, animals, and more
• Accurate automatic logging of detection coordinates and timestamps

Competitive Advantages

Key differentiators of DeepVi vs. AutoML and vision tools

Key Features

Storage (Data Management)

• Bulk image upload via Web or FTP
• Remote archiving on NAS or File Server
• High-speed browsing of large datasets with auto-generated thumbnails
• Batch operations: bulk delete and move multiple images at once
• Original data preserved permanently — easy to reuse
• Storage footprint stays constant when adding new datasets

Dataset (Labeling)

• Unified labeling environment for all 3 types: Classification · Detection · Segmentation
• Built-in BBox and Mask precision labeling tools
• Category management organized by defect type
• Improved model accuracy through pixel-level annotation
• Flexible training setups via dataset splitting and merging

Inline Processing (Real-Time Image Processing)

• Pre-inference processing: image quality enhancement, Template Matching, and more
• Alignment support: Rotation and Translation correction
• Reference image registration and management
• Automatic calculation of translation and rotation offsets

Model (Training & Validation)

• Supports both pre-trained and custom models
• One-click training — configure hyperparameters and data split, then go
• Transfer Learning and Early Stopping available
• Real-time monitoring: Confusion Matrix, mAP, and Loss curves
• Best weights auto-saved with checkpoint download support

Inference (Real-Time Inference)

• Live inference from camera streams or image files
• Real-time inference result monitoring
• Low-confidence results automatically filtered out
• Defect type, coordinates, and timestamp auto-saved to DB
• Search and retrieve past inference records by condition
• Workflow-based interface for fast algorithm configuration

Review (Model Improvement)

• Build up training data through false-positive review, re-labeling, and comments
• New models are auto-generated, compared, and swapped in if performance improves
• MLOps-based automated retraining and deployment pipeline
• Data anomaly detection and recovery to sustain long-term performance
• Natural language search for similar defect root cause analysis
• Automatic data degradation detection and self-recovery