VisionX RVEI Pre-Incubated · Patent Published Oct 2025
Bengaluru went from 937 lakes in 1937 to fewer than 81 today — a loss of over 90% in a single lifetime. The primary cause is not just urbanisation. It is the daily accumulation of plastic waste, foam, and untreated effluents that choke what remains.
Manual cleanup crews visit these lakes at most monthly. A 4-person team working 8 hours collects roughly 50 kg. The waste returns within 48 hours. It is a war of attrition that humans are losing.
At the current trajectory, Bengaluru will have no functional lakes by 2045. The same pattern repeats across every Indian tier-1 city.
SCRUB running one 9.9-hour cycle collects the equivalent of 4 manual cleanup sessions. At ₹2.5L - ₹3.5L per unit at scale, it is the only economically viable continuous intervention that exists.
Source: KSPCB Water Quality Reports · BBMP Lake Census 2024
Every component chosen for real-world deployment in India's climate. Designed for Bengaluru's shallow lakes. Patent published. Field-tested at Kengeri Lake in coordination with BBMP.
Grid-based GPS pathfinding with AI obstacle avoidance. SCRUB covers a defined lake zone without human intervention, returning to dock when full.
pH, turbidity, dissolved oxygen, TDS, and temperature — GPS-tagged at 1Hz and streamed live to a cloud dashboard accessible to BBMP officers.
Zero fuel cost. Solar charges the 48V LiFePO₄ pack during operation. A 9.9-hour autonomous run with zero emissions and zero chemical footprint.
YOLOv8 INT8 runs at 10+ FPS on the Pi 5, identifying plastic bottles, foam, and organic matter with 90% validated precision.
Stainless steel mesh belt at 14° incline. 20kg per collection cycle. 2mm aperture prevents any aquatic life entry. Field-proven at Kengeri Lake.
Fully autonomous AI navigation or manual RC override at any time. The operator can take control within 200ms — critical for safety near swimmers.
SCRUB V2 is our next-generation lake-cleaning build: a larger, more stable platform designed to carry heavier collection hardware, improved propulsion, stronger electronics integration, and longer-duration testing in real lake conditions.
In parallel, we are working on SCRUB V3 — a dedicated river-cleaning bot built for flowing water, higher debris loads, safer retrieval, and scalable deployment across polluted urban river stretches.
Footage from Kengeri Lake, Bengaluru and RVCE pool trials.
Our core design is patented and published. More patents are currently in the pipeline as we continue to develop new mechanisms and systems.
Official coordination with BBMP Lakes Department for trials at Kengeri Lake, Bengaluru. MoU in progress. Government endorsement letter secured for funding applications.
Selected for the VisionX RVEI Pre-Incubation Program, strengthening SCRUB with structured mentorship, venture-building support, and an ecosystem for taking the technology toward deployment.
Formally incubated under Department of Computer Science & Engineering, RV College of Engineering. Faculty mentorship: Dr. Shanta Rangaswami (HoD, CSE) and Dr. K. Badari Nath.
TRL 4. Core systems validated. AI debris detection at 90%+ precision on real lake footage. Water quality sensors cross-validated against laboratory standards. Autonomous navigation tested in complex obstacle environments.
Phase 1 chassis and Custom PCB v2 in fabrication . Full sensor suite procured. Field trial 2 target: June 2026.
"The only student-built, patent-published autonomous lake-cleaning robot in India — and the only one designed specifically for Indian lake conditions."
Dr. Shanta Rangaswami · HoD Computer Science · RVCE
Undergraduate engineers from RVCE building India's first autonomous lake-cleaning robot. No supervisors. No templates. Just first principles.
SCRUB is seeking institutional partners, CSR funders, fabrication mentors, field-trial permissions, and government collaborators to deploy SCRUB V2 for lakes and develop SCRUB V3 as our dedicated river-cleaning bot.