Veturai

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Overview

$10,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

10 - 49

Employees

2017

Year Founded

ABOUT VETURAI

Teaching computers to think like humans

Veturai is a firm dedicated to offering machine learning and big data solutions to our clients. Our team possesses substantial experience in creating solutions for clients in the EU and US, emphasizing sectors such as security, automotive, and healthcare. We provide a range of services, including but not limited to:

Tech Stack

PythonC#JavaScriptKotlinObjective CSQLSwiftReactVueJSDjangoNodeJSReact Native

Languages Spoken

EnglishPolish

HIGHLIGHTS

$10,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

10 - 49

Employees

2017

Year Founded

Services

Focus

Industries

Clients

Services Provided

10% AI Strategy & Roadmap Consulting

12% BI & Big Data Consulting & SI

12% Machine Learning Model Development

8% API Development & Integration

7% Frontend Development

10% Backend Development

8% Custom Web Application Development

33% Data Strategy Consulting

Portfolio

AI-powered touchscreen for P&G

P&G

The issue at hand was the challenge of advertising and personalizing a vast array of toothbrushes and heads available in the store. Customers faced an overwhelming number of options, complicating the selection process. To address this, a multimedia screen solution was implemented to offer personalized recommendations for each individual, utilizing face recognition technology to analyze gender and age. The technological components included: Computer vision for face detection and demographic estimation; interactive touch screens; NVIDIA Jetson hardware; and software built with React.js, Python, TensorFlow for the web application, along with NVIDIA DeepStream.

Emergency vehicle alerts on the multimedia screen

Screen Network

The multimedia display in the shopping mall shows an ad for the Chicago Fire series airing on the FOX channel when the computer positioned above the screen detects an approaching emergency service vehicle through its signal. TECHNOLOGY: Utilization of computer vision for public area monitoring (identification of vehicle type) Analysis of emergency vehicle sounds Devices/electronics: A server application that processes images from cameras and audio captured by a microphone Software: Python, TensorFlow, Flask, OpenCV.

Object detection and real-time face analysis

Autonomy Now

The issue at hand is the elevated risk of accidents near public transport, particularly around bus stops. Drivers often fail to see pedestrians who emerge from behind another bus or who are standing close to the vehicle. One solution to this problem is to implement technology that enables early identification of objects in the bus's vicinity, thereby helping to prevent accidents with pedestrians or cyclists. This system would detect potential threats and alert the driver. The technology involved includes computer vision for analyzing the area surrounding the vehicle, identifying pedestrians and cyclists, and assessing distances and potential collision risks. The hardware comprises devices such as NVIDIA Jetson, while the software utilized includes Python, TensorFlow, and DeepStream.

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