Bussiness Ideas

Automation and optimizing workflow of any industry and factory is basic necessity for any company/factory/industry to improve the work efficiency. For achieving it, generally IOT, PLC/SCADA and other solutions available for separate industry. But these solutions having following problem such as uneconomic solution which leads to less adoption, modifications in existing machine/infrastructure which leads to void of original manufacturer, performance reduction, reduction of life of machine, uneasy installation: Automation takes skilled engineer to analyze the industry specific problem and develop solution, time consuming, hindrance to work cycle, no Machine prediction for planning, human machine data trust/authentication risk Our product is universally scalable to every industry. Major targeting beneficiaries are manufacturing industry, IT industry, MNC, MSMEs, Heavy Industries. Manufacturing industry uses many machines and to automate the process according to there resources, they need to modify infrastructure accordingly. Heavy industry like NHPC generate electricity from DAM water, they need to report the data generation to Ministry of power as well as maintain logs which is impossible via existing automation technology. We are solving the problem by just placing Eyeton camera in front of meters/gauges/panels. Camera captures the video feed of measuring unit and convert the video data into actual raw data using image processing and machine learning. Implementation is easy and scalable to any industry. Eyeton provide following features like data monitoring, virtual smart alert systems over existing low-cost hardware, maintenance prediction of machine, data export, recorded machine feed, report generation, remote and intelligent controlling of machine etc. Current stage: Prototype is ready and installed in few places for validation for last 4 months. Technologies used: Machine learning, Image Processing, backend and frontend cloud, software engineer, embedded software and hardware engineers, etc.

Startup Teams

• 1 Ashish chhonkar (Director)
• 2 Bhajan Lal (Director)
• 3 Rajan Shri (Director)

Incubation Details

• Incubator Name
  INurture Incubation Foundation
• Incubator Host Institution
  ABES Engineering College, Ghaziabad
• Incubator Address
  19th Km Stone, NH-09, Vishwakarma Block, Ghaziabad
• State
  Uttar Pradesh
• City
  Ghaziabad