Bussiness Ideas

InfinitiSense follows a Technology and Product Innovation Model focused on developing an EdgeAI-powered autonomous robotic solution for solar-panel cleaning. The innovation integrates EdgeAI, multi-sensor fusion, autonomous robotics and cloud connectivity to address the limitations of conventional manual and scheduled solar-panel cleaning, particularly the need for regular human intervention and limited real-time operational intelligence. The robotic system incorporates IMU, proximity, rain and digital current sensors to continuously monitor movement, orientation, surrounding obstacles, environmental conditions and operating health. EdgeAI processes these sensor inputs locally and intelligently combines the information to enable autonomous navigation, adaptive cleaning, obstacle detection, abnormal-condition detection and real-time safety decisions. Local processing reduces dependency on continuous cloud connectivity and enables faster responses during robot operation. A cloud-connected dashboard complements the onboard intelligence by providing real-time monitoring, remote control, alerts, operational insights and fleet management capabilities. This allows multiple robotic units to be monitored, controlled and managed through a centralized platform, supporting deployment across distributed solar installations. The innovation transforms solar-panel cleaning from a primarily manual and fixed-schedule activity into a more autonomous, intelligent and data-driven operation. Its modular architecture enables continuous software and AI improvements and supports deployment across different solar-panel configurations and fleet sizes. By combining intelligent sensing, EdgeAI decision-making, autonomous robotics and cloud-based fleet management, InfinitiSense aims to deliver a scalable, reliable and sustainable solution for solar-panel maintenance. The solution is designed to reduce manual intervention, improve operational efficiency, enhance safety and provide actionable data for effective solar asset maintenance.

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Entity Type
Limited Liability Partnership
Sectors
Telemedicine
Startup Stage
validation

Startup Teams

  • 1 Ziyaad Mujeeb Quaiser (Partner)
  • 2 Eram Quaiser (Partner)

Incubation Details

  • Incubator Name
    AKGEC Skills Foundation
  • Incubator Host Institution
    Ajay Kumar Garg Engineering College
  • State
    Uttar Pradesh
  • City
    Ghaziabad

Approved Incentive

Not Available

Year of Establishment2026

Location

State
Uttar Pradesh
Disctrict
Ghaziabad
Pincode
201014