AI ACTIVE BAV ONE turns compatible cameras into programmable AI sensors
See Vision PolicyBAV Research
Explore our applied research programmes across computer vision, intelligent operations, wildlife monitoring, enterprise automation and AI product validation. Each programme documents its objectives, evaluation plan, limitations and intended outputs.
6
Research programmes
6
Evaluation dimensions
Human-reviewed
Research approach
Research catalogue
Every item below has a dedicated page covering its research problem, architecture, questions, methodology, evaluation plan, planned deliverables, deployment context and responsible-AI boundaries.
An intelligent AI surveillance framework designed to detect objects, activities, anomalies, and potential threats using real-time computer vision and edge AI deployment.
Applied research programme
Real-time detection, tracking, and anomaly alerts for mission-critical environments.
A practical enterprise AI transformation framework that helps organizations automate workflows, analyze data, build AI copilots, and improve decision-making using scalable AI systems.
Applied research programme
AI copilots, automation workflows, analytics engines, and decision intelligence for enterprises.
A structured AI prototype and POC platform designed to help businesses scope, test, evaluate, and present AI solutions before full-scale deployment.
Prototype research programme
Helping product teams and enterprises move from AI idea to validated prototype, evaluation workflow, and deployment-ready architecture.
A wildlife and forest intelligence system that uses computer vision, camera traps, thermal feeds, and tracking models to support protected-area monitoring and field operations.
Conservation research programme
AI-powered forest surveillance, anti-poaching alerts, species detection, and animal movement intelligence.
A mission-critical AI operations framework for building secure, scalable, and high-availability intelligent systems across surveillance, infrastructure, environment, and distributed operations.
Systems research programme
Secure AI systems for infrastructure monitoring, surveillance operations, environmental intelligence, and decision support.
A computer vision intelligence framework that converts images and video streams into structured insights, alerts, analytics, and decision support.
Core vision research programme
Real-time visual intelligence for detection, classification, tracking, and abnormal activity recognition.
Long-term research pillars
These pillars describe the broader technical roadmap. Availability is not implied until supporting assets and evidence are published.
Reliable event intelligence across real production scenes.
Model optimization for constrained and offline environments.
Improvement methods for limited, approved datasets.
Governed natural-language interaction with visual evidence.
Inspection, process and safety intelligence.
Depth, geometry and spatial understanding research.
Visual intelligence beyond the visible spectrum.
Mobile perception for aerial and robotic systems.
Applied imaging for research instruments and specialist domains.
Minimization, controlled access and privacy-aware model design.
Research pages describe active or proposed technical investigation. Papers, benchmark reports, datasets, patents, partnerships and measured performance will be presented only when verifiable assets and evidence are available.
From visual data to enterprise intelligence
Map your visual sources, operating conditions, AI modules, deployment model and integrations with our team.
