Celebrating Dr. (Ms.) Sarani Bhaumik’s Design Registration for Responsible Tourism
The Responsible Tourism Society of India (RTSOI) proudly celebrates the intellectual breakthrough of our individual member, Dr. Sarani Bhaumik (Assistant Professor, Maulana Abul Kalam Azad University of Technology, West Bengal). Dr. Bhaumik has officially secured a registered design from the Indian Designs Registry (Design/Application No.: 506959-001, Filed: 24 June 2026, Published in Journal 34/2026) for her pioneering Visitor Data Analysis Device for Responsible Tourism. This invention marks an exceptional milestone for the society, offering an innovative engineering blueprint to address carrying-capacity challenges across India’s fragile ecosystems and wildlife reserves.
Her Own Vision
The idea came to her from a simple question that has often remained in her mind while studying tourism destinations: how do we know, at the right time, when a destination is beginning to experience more pressure than it can comfortably absorb?
We often discuss carrying capacity, overcrowding, environmental pressure and responsible tourism. But in practice, much of the information needed for managing these issues is either collected manually or remains scattered across different sources. I felt that there was a need to bring such information together in a simple and practical way.
Her vision was therefore to think of a compact device that could help understand what is actually happening at a destination—how many visitors are present, how they move, where congestion is developing, how long they stay, and whether increasing visitor activity is creating environmental pressure.
Technical Architecture & Responsible Methodology
While modern IT software frameworks provide robust infrastructure for tracking public traffic, implementing automated facial recognition and physical biometrics in public tourism zones raises severe legal, ethical, and privacy complications under prevailing data protection regimes. To ensure absolute compliance with responsible tourism mandates, Dr. Bhaumik’s device operates on anonymous Edge-AI computer vision vectors. Rather than identifying individual faces, the system utilizes advanced object detection (such as convolutional neural networks) to count human forms, track dwell times, and gauge queue volumes in real time. To accurately avoid duplication of footfall without storing personal biometric keys, the device uses localized spatiotemporal tracking vectors and cross-terminal directional line-crossing algorithms. This processes data locally at the edge, maintaining total visitor anonymity while yielding precise crowd insights.
Long-Term Ecological and Operational Benefits
Deploying this automated edge processing system provides transformative long-term advantages for tourist sites and wildlife sanctuaries:
∙ Carrying Capacity Management: Enables immediate, automated alerts when delicate environmental thresholds are reached, protecting fragile biomes from degradation.
∙ Wildlife Habitat Protection: Monitors human infiltration and dwell times near animal corridors or nesting zones without disrupting natural wildlife behaviours.
∙ Resource Allocation Optimization: Empowers local authorities with empirical data to schedule maintenance, coordinate waste collection, and position emergency personnel effectively.
∙ Enhanced Infrastructure Planning: Generates historical seasonal footfall trendlines that eliminate guesswork from public asset funding and local sustainable tourism investments.
Global Benchmark Instruments & International Deployment
Similar edge-computing automated counters are deployed globally to manage fragile natural destinations and overtourism hotspots:
| Instrument/System | Global Deployments | Operational Utilisation |
| Eco-Counter Smart Sensors | Croatia (Plitvice Lakes), France (Mont Blanc routes) | Uses pyroelectric and optical arrays to track remote trail congestion, helping rangers divert foot traffic away from eroding slopes. |
| FLIR Brickstream AI | Venice Checkpoints, Vatican Museums (Italy) | Processes localized 3D stereo-vision to calculate queue velocity and crowd volume, triggering automated entry-gate closures during peaks. |
| Xovis 3D Sensors | Major European National Parks & Heritage Sites | Tracks precise flows, dwell patterns, and bottleneck formations at historic transit hubs without harvesting personal data. |
The underlying idea was not to restrict tourism, but to manage it better. Dr. Bhaumik wanted to explore whether technology could help destination managers take timely decisions and maintain a healthier balance between tourism growth, visitor experience and the long-term protection of the destination. This thought eventually led to the development of the Visitor Data Analysis Device for Responsible Tourism.