Visnet is an AI framework crafted for the research and deployment of ready-to-use AI models. It boasts a universal neural network interface compatible with cutting-edge models in NLP and Deep Vision Systems.
This framework offers a modular frontend, serverless multi-compatibility, and seamless deployment through Vercel. Its high-performance gateway includes features like Universal ASGI Gateway, DDoS protection, IP filtering, and an authentication protocol layer.
The core AI models in Visnet handle tasks such as translation, license plate recognition, and facial feature matching. Notably, its face feature matching system excels in identifying individuals, detecting emotions, and estimating age.
Furthermore, Visnet extends its support to drone structural inspection and audio transcription. It’s a valuable asset for industries seeking AI solutions for surveillance, autonomous drone inspections, and advanced image and video analysis.
Developed by a dedicated team of researchers, Visnet aims to leverage AI’s capabilities to tackle diverse challenges and provide tailored solutions for various clients. With expertise in deep vision systems, the research team focuses on solving complex issues related to surveillance and advanced image and video analysis, fostering collaborations with companies offering surveillance solutions.
More details about Visnet
How does Visnet handle license plate recognition?
Visnet excels in license plate recognition by supporting up to 20 vehicles in a single frame for detection and number identification at 30 frames per second. This capability allows for the recognition of 600 vehicles in just one second, showcasing high performance and efficiency.
What are the facial feature matching capabilities of Visnet?
Visnet’s facial feature matching capabilities encompass analyzing facial features for identification, emotion detection, and age estimation. This functionality makes it a powerful tool for applications like surveillance, where accurate and efficient facial recognition is crucial.
Who are the key individuals behind Visnet?
The key individuals behind Visnet include Sai Krishna Uppaluri, the co-founder and CEO; Govardhan Chitrada, the founder and CTO; and Madhu Babu Attada, the COO. Sai Krishna holds a postgraduate degree in Computer Science Engineering from La Sapienza University. Govardhan Chitrada is a graduate of the same university with expertise in AI and Robotics. Madhu Babu Attada brings extensive experience in business development and marketing, complemented by a strong educational background in Business Management, Marketing, and Computer Science.
