Visnet Product Information

Visnet Framework Overview

Visnet Framework is a comprehensive, headless, multi-compatible universal neural networks interface designed to host and integrate a variety of AI models. At its core, Visnet provides a universal framework that houses all Service-Oriented Architecture (SOA) neural network models related to Natural Language Processing (NLP) and Deep Vision Systems. The platform emphasizes modularity, high performance, security, and cross-compatibility across deployment environments.


Core Architecture & Components

  • Modular Frontend, Serverless, Multi-Compatibility: Designed to work across various hosting environments, including Vercel deployment, with REST API and WebSocket support for real-time communication.
  • Visnet High Performance Gateway: Universal ASGI gateway with built-in DDOS protection and IP filtering to ensure secure and scalable access.
  • Auth Protocol Layer: Implements OAuth 2.0, pin-based access, RSA encryption, and blacklisting for secure authentication and authorization.
  • Core AI Models: Includes models for Translation, License Plate Recognition, and Face Feature Matching, among others.

What It Does

Visnet is built to tackle highly complex problems in surveillance, autonomous drone inspections, and advanced image/video analysis. It focuses on:

  • Facial feature recognition with defense-grade authentication and registration, including eye-tracking, emotion, and age detection with high efficiency and concurrency.
  • Drone structural inspection for automatic defect detection in concrete structures.
  • Audio transcription with multilingual support via high-performance, hand-crafted models.
  • License plate recognition capable of handling up to 20 vehicles per frame, enabling up to 600 recognitions per second when processing multiple frames.

Our Research & Expertise

  • A team of experts in Deep Vision Systems tackling complex surveillance and inspection tasks.
  • Emphasis on combining human intelligence with AI to build industry-grade solutions.
  • Collaboration with Italy’s largest autonomous drone surveillance company, reflecting real-world deployment and impact.

About Us

Founded in 2022, Visnet AI Technology Pvt Ltd aims to harness the power of AI to solve distinct industry problems and provide accessible AI capabilities to enterprises. The team focuses on delivering custom AI solutions by leveraging multi-modal AI and human-AI collaboration.


Leadership & Team

  • Sai Krishna Uppaluri — Co-Founder & CEO: Leads Visnet’s strategic direction and product development; holds a postgraduate degree from La Sapienza University (CSE).
  • Govardhan Chitrada — Founder & CTO: Visionary researcher in AI & Robotics; committed to blending AI with human collaboration.
  • Madhu Babu Attada — COO: Drives business development and marketing; combines technical expertise with business strategy.

Contact & Access

  • The platform provides framework access and API interfaces for integration into customer systems.
  • Website navigation includes Home, Framework, Research, About Us, Careers, Vision, and policy pages.

How Visnet Works (High-Level)

  1. Deploy and expose a universal neural network interface via REST API and WebSocket.
  2. Route requests through the ASGI Gateway with security layers (OAuth 2.0, Pin Access, RSA Encryption).
  3. Run core AI models (Translation, License Plate Recognition, Face Feature Matching, etc.) in a scalable, serverless environment.
  4. Provide multilingual transcription, vision analytics, and license plate detection in real-time or batch modes.

Safety & Compliance

  • Emphasizes secure authentication, data protection, and privacy-focused deployment.
  • Businesses should ensure compliance with local regulations for surveillance, facial recognition, and data handling when integrating Visnet.

Core Features

  • Universal neural networks interface with multi-compatible, headless design
  • Serverless frontend with Vercel deployment and REST/WebSocket APIs
  • High performance ASGI gateway with DDOS protection and IP filtering
  • OAuth 2.0, pin-based access, and RSA encryption for secure authentication
  • Facial feature recognition, age/eye-tracking/emotion analysis, defense-grade authentication
  • Drone structural inspection for defect detection in concrete structures
  • Multilingual audio transcription with high-performance models
  • License plate recognition up to 20 vehicles per frame (600 recognitions per second)
  • Research-driven, industry-oriented AI models and deployment capabilities

Usage Scenarios

  • Enterprises needing secure, scalable AI vision and NLP capabilities
  • Autonomous drone inspection and surveillance workflows
  • Real-time transcription and language translation services
  • Video and image analysis pipelines requiring modular AI components

Technical Specifications (Summary)

  • Framework: Headless, multi-compatible neural network interface
  • Deployment: Serverless, Vercel-ready, REST API, WebSocket
  • Gateway: Universal ASGI gateway with security controls
  • Models: Translation, License Plate Recognition, Face Feature Matching, and more
  • Security: OAuth 2.0, Pin Access, RSA Encryption, blacklisting
  • Collaboration: Partnered with major autonomous drone surveillance provider in Italy

Notes

  • This description reflects the publicly stated capabilities and focus areas of Visnet Framework as described in their product and company materials.