AI Object Detection
General-purpose computer vision with custom model training and video stream analysis
AI object detection module that identifies, classifies, and tracks objects in images and live video streams — supporting custom YOLO model training, multi-class detection, annotation tools, and event-triggered alerts for safety monitoring, inventory counting, and quality inspection.
Features
What's Included
Multi-Class Object Detection
Detects and classifies multiple object types simultaneously in a single frame — people, vehicles, products, defects — with bounding boxes and confidence scores.
Custom Model Training
Upload labeled datasets and train custom YOLO models for domain-specific detection tasks — with data augmentation, hyperparameter tuning, and model versioning.
Video Stream Analysis
Processes live RTSP/RTMP camera feeds in real time, running inference at 15-30 FPS per stream with GPU acceleration and multi-camera support.
Annotation & Labeling Tools
Built-in web interface for drawing bounding boxes, polygons, and segmentation masks on training images — with team collaboration and labeling workflows.
Event Triggers & Alerts
Configure rules that fire alerts when specific objects are detected — hardhat missing, restricted zone intrusion, shelf empty — via webhook, SMS, or push notification.
Model Performance Metrics
Track mAP, precision, recall, and inference latency across model versions with visual comparison charts and automated regression testing.
Plans
Feature Comparison
See what's included at every level — each tier builds on the previous one.
| Feature | Basic | Advanced | Expert | Enterprise |
|---|---|---|---|---|
| Pre-trained object detection (80 classes) | ||||
| Image upload detection with results | ||||
| JSON output with bounding boxes | ||||
| Basic web detection viewer | ||||
| Custom model training with labeled data | — | |||
| Live video stream processing (single feed) | — | |||
| Event triggers with webhook alerts | — | |||
| Annotation tool for training data | — | |||
| Multi-camera concurrent processing | — | — | ||
| Model versioning and A/B comparison | — | — | ||
| Performance metrics dashboard (mAP, recall) | — | — | ||
| GPU auto-scaling based on stream count | — | — | ||
| On-premise GPU cluster deployment | — | — | — | |
| Multi-tenant model isolation | — | — | — | |
| Edge device deployment (NVIDIA Jetson) | — | — | — | |
| SLA-backed inference latency guarantees | — | — | — |
Basic
4 features- Pre-trained object detection (80 classes)
- Image upload detection with results
- JSON output with bounding boxes
- Basic web detection viewer
- — Custom model training with labeled data
- — Live video stream processing (single feed)
- — Event triggers with webhook alerts
- — Annotation tool for training data
- — Multi-camera concurrent processing
- — Model versioning and A/B comparison
- — Performance metrics dashboard (mAP, recall)
- — GPU auto-scaling based on stream count
- — On-premise GPU cluster deployment
- — Multi-tenant model isolation
- — Edge device deployment (NVIDIA Jetson)
- — SLA-backed inference latency guarantees
Advanced
8 features- Pre-trained object detection (80 classes)
- Image upload detection with results
- JSON output with bounding boxes
- Basic web detection viewer
- Custom model training with labeled data
- Live video stream processing (single feed)
- Event triggers with webhook alerts
- Annotation tool for training data
- — Multi-camera concurrent processing
- — Model versioning and A/B comparison
- — Performance metrics dashboard (mAP, recall)
- — GPU auto-scaling based on stream count
- — On-premise GPU cluster deployment
- — Multi-tenant model isolation
- — Edge device deployment (NVIDIA Jetson)
- — SLA-backed inference latency guarantees
Expert
12 features- Pre-trained object detection (80 classes)
- Image upload detection with results
- JSON output with bounding boxes
- Basic web detection viewer
- Custom model training with labeled data
- Live video stream processing (single feed)
- Event triggers with webhook alerts
- Annotation tool for training data
- Multi-camera concurrent processing
- Model versioning and A/B comparison
- Performance metrics dashboard (mAP, recall)
- GPU auto-scaling based on stream count
- — On-premise GPU cluster deployment
- — Multi-tenant model isolation
- — Edge device deployment (NVIDIA Jetson)
- — SLA-backed inference latency guarantees
Enterprise
16 features- Pre-trained object detection (80 classes)
- Image upload detection with results
- JSON output with bounding boxes
- Basic web detection viewer
- Custom model training with labeled data
- Live video stream processing (single feed)
- Event triggers with webhook alerts
- Annotation tool for training data
- Multi-camera concurrent processing
- Model versioning and A/B comparison
- Performance metrics dashboard (mAP, recall)
- GPU auto-scaling based on stream count
- On-premise GPU cluster deployment
- Multi-tenant model isolation
- Edge device deployment (NVIDIA Jetson)
- SLA-backed inference latency guarantees
Use Cases
Where This Module Fits
Construction site safety compliance monitoring
Retail shelf availability and planogram verification
Warehouse inventory counting from overhead cameras
Manufacturing quality inspection on production lines
Wildlife conservation species detection and tracking
Technology
Built With
Production-grade technologies trusted by enterprises worldwide.
Related Modules
Works Well With
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