Adagrad
Adagrad
  • Problem Statement

    Vehicle Analytics is required for Customer satisfaction, Risk management and Productivity Enhancement in Transportation, automobile and Security/Surveillance Segments. Current vehicle analytics solutions are either inaccurate or unaffordable, causing industries to rely on outdated technologies like RFID. This limitation hinders security, transportation efficiency, and innovation in vehicle analytics across various sectors.

    Product Name: Superview

    Founder: Niranjan Patil, Managing Director

    Website: https://www.adagrad.ai

  • Product Innovation

    We've engineered a robust vehicle analytics platform that runs on palm-sized edge devices yet captures an unparalleled range of vehicle attributes. From license plates and colour to make/model, axle count, orientation, and direction of travel everything required for comprehensive vehicle analytics. The technology, developed in Pure C/C++ with Gstreamer, offers unparalleled vehicle analytics with human-level accuracy on minimal hardware. It captures comprehensive vehicle attributes, optimized for edge computing. Adaptable for diverse use cases and global license plates, our solution sets a new industry standard, ensuring versatility and future-readiness.

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