Neurocrafts

Our Research

The convolutional neural network (CNN) is one of the most used deep learning models for image detection and classification, due to its high accuracy when compared to other machine learning algorithms. CNNs achieve better results at the cost of higher computing and memory requirements. In the recent past we are seeing some advancements in CNN through. Read more

Though Pruning and Quantization are two different techniques, but commonly used to reduce the computational complexity and memory footprint of the models for deployment. However, most existing pruning strategies operate on full-precision and cannot be directly applied to discrete parameter distributions after quantization. In contrast, a combination of these techniques achieve further network compression.Read more

With the raise in use of surveillance cameras for monitoring mission critical activities, edge computing is becoming crucial. The data transmission delays in highly centralised cloud computing networks will add to the response time, whereas AI enabled edge devices will help in faster processing. Read more

Use Cases

Public Place Security

In the current situation, a lot of demand about the safety & security in public places. Some of the applications in this field of the area are.

Retail Context

Retailers realize that excellent customer service is critical to running a successful business. AI has the ability to revolutionize the retail industry

Industrial Security

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about.

Parking Area Context

AI-based smart parking can help ease the process of finding a parking spot and also help manage parking spaces better.

Traffic Analytics

Traffic Analytics works by collecting data from connected traffic systems, which provide input about live traffic or years of historical traffic behaviour. In order to understand this unstructured data, it uses machine learning

Indoor Surveillance

Due to increase of violence and threats from non-social elements, indoor surveillance had become a need. Nowadays, due to advancements in internet and smart camera technology

Inspection Systems

Artificial Intelligence is turning out to be a game changer, with countless applications in nearly every domain. It is now making its way into the area of Production and Manufacturing

Sports Analysis

In sports industry analytics being deployed to track player performance and helps to improve the health of the player by suggestions on injury etc.

Autonomous Systems

AI plays a critical role in autonomous industry. It is majorly segregated as Driver Assist systems and Driverless Automobiles.

Outdoor Surveillance

With the latest advancements in surveillance cameras, outdoor surveillance has become easy in extreme climatic conditions too.

Underwater Imaging

The continued development of underwater imaging systems at military, commercial, and consumer levels portends well for both increased visibility and accessibility by these various segments.

Robotic Vision

Robotic vision is among the latest innovations in robotic and automation technology. Essentially, robot vision is a sophisticated technology that helps a robot better identify things, navigate, inspect, and handle parts.

"Fully automated computer vision solution builder using cutting edge machine learning"

Disruptive Innovation

Model Cleaver

Makes Your Model Edgeable

SVAS

Scalable Video Analytics Stack

AI@Edge

Bump In Wire

"Automatic resource aware model generation, optimization and quantization"

Model Cleaver

Context And Resource Aware Model Optimization

"Automated vision architect and application builder"

SVAS

Event Driven Context Aware Video Analytics

"Empower legacy cameras with AI smartness"

AI@Edge

Transforms Legacy Devices Into AI Enabled

About Company

Our Research

Products

Model Cleaver

Scalable Video Analytics

AI@Edge