Problem Statement
- Key Requirement for Image analytics Includes –
- Pre-emptive Analytical Surveillance
- Patrol Optimization
- Variance based activity detection
- Machine Learning-based Image Analytics
Value Proposition
- Image Recognition requires training of algorithms like CNN/RNN to detect image objects and faces
- Crowd-pooling & tagging along with camera trap capture tagging will be used to train models
- CNN/RNN models to be deployed to run image recognition for species tagging/ID tagging
- Image to be stored in BDL after tagging process is undertaken with repository update
Solution Strategy
Data Management for Images
- •Video files Parsing
- •Image Extraction
- •Real-Time Object Filtering
Object Detection & Recognition Model
- •Species tagging, recognition, pattern Analysis, etc.
- •Anomaly movement, Critical path Optimization, etc.
Unified Reporting Engine
- •Integrated Analysis with GIS enablement
- •ML/DL Based Alerting System
- •Auto-tracking, fail safe mode, Obstruction Detection
