Vision-Language Model
Object Detection
Crop Health Monitoring
Autonomous drone system detecting disease, stress, and growth patterns.
Qwen2.5-VL provides semantic understanding while YOLO26 delivers 44 FPS real-time detection.
Disease detection with 97% accuracy
Yield prediction via multimodal analysis
Automated anomaly alerts
Multi-field fleet management
Production Ready
YOLO26
SAM 2.1
Livestock Tracking
Real-time tracking system for herd management.
YOLO26 NMS-free detection with SAM2's memory mechanism for occlusion handling.
43% faster CPU inference
Occlusion-aware tracking
Behavior pattern analysis
Integration with ear-tag systems
Beta Testing
VLM Reasoning
Edge Detection
Wildfire Detection
Early warning system using VLM scene reasoning.
Detects smoke, perimeter anomalies, and triggers alerts before fire spreads.
<2 second detection latency
Multi-sensor data fusion
Predictive fire spread modeling
Satellite+drone verification
Concept Prototype
YOLO26
Custom SAM
Infrastructure Inspection
Automated inspection for bridges, pipelines, and agricultural structures.
Custom SAM prompts trained on specific infrastructure defects.
Crack and fracture detection
Structural integrity analysis
Automated reporting system
Regulatory compliance checks
Enterprise Deployment
SAM3D
Cloud API
Terrain Mapping
3D terrain reconstruction from drone footage.
SAM3D processes camera+LiDAR streams for elevation mapping.
Multi-modal sensor fusion
Real-time reconstruction
Precision elevation modeling
Integration with farm planning
Research Phase