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
Application Areas
The same pipeline works across industries — just change the class names and data, and DeepVi extends immediately beyond manufacturing, smart farming, logistics, and security to medical & healthcare, optical sorting, embedded vision, automated test equipment (ATE), and more.
Competitive Advantages
Key differentiators of DeepVi vs. general-purpose AutoML platforms (Vertex AI · SageMaker · Azure Custom Vision) and vision specialist tools (Roboflow · Label Studio · Labelbox)
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
DeepVi in One Line
No coding required, all in one platform — DeepVi removes every barrier to AI adoption.
DeepVi handles the complete End-to-End AI vision pipeline in a single platform: data collection (Storage) → labeling (Dataset) → real-time image processing (Inline Processing) → training & validation (Model) → real-time inference (Inference) → model improvement (Review). The same pipeline works across industries — just change the class names and the data, and it adapts immediately to manufacturing, smart farming, logistics, security, medical imaging, and more.