Cognitive Machines

Profile set up by Edverise AI

Is this your business? Become an Edverise partner & Claim Now →

View Website

Set Up By Edverise AI

Edverise AI built this profile by analyzing thousands of data points across the web. If you own this business, become an Edverise partner to manage and update your profile.

Become an Edverise Partner

Overview

$25,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

10 - 49

Employees

2016

Year Founded

ABOUT COGNITIVE MACHINES

Artificial Intelligence, Simplified

Creating cognitive products that capitalize on the latest developments in Artificial Intelligence can be challenging. We assist businesses in leveraging AI's capabilities to create innovative products efficiently. As a Gold partner in the Microsoft partner network with a focus on Data Analytics and AI, we can support you in designing and developing your future offerings using cutting-edge AI technologies. Our certified Data Scientists will guide you throughout every step of your growth journey. Our expertise includes Machine Learning, Computer Vision, Natural Language Processing, Data Science, and Analytics. We are excited about the opportunity to collaborate with you and help your business advance through the use of AI.

LANGUAGES SPOKEN

EnglishHindi

HIGHLIGHTS

$25,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

10 - 49

Employees

2016

Year Founded

Services

Focus

Industries

Clients

Services Provided

20% AI Strategy & Roadmap Consulting

22% Machine Learning Model Development

8% Conversational AI & Voice Assistant Development

17% AI Model Fine-Tuning & Training

8% Generative AI

15% BI & Big Data Consulting & SI

10% Cloud Consulting & SI

Portfolio

Traffic Video Analytics

Unknown

In this demonstration, we present a low-latency vehicle counting solution aimed at traffic analysis, featuring key functionalities such as vehicle make and model recognition, vehicle type classification, and traffic pattern analysis. The client approached us with the intriguing challenge of analyzing CCTV footage of traffic on roadways. Their goal was to utilize these recordings to derive valuable insights into traffic conditions for both residential and commercial zones. The main hurdle was to deliver video analytics results efficiently in terms of time and power consumption. To address this, we developed a Deep Neural Network model capable of recognizing six vehicle categories: cars, motorcycles, buses, trucks, bicycles, and pedestrians. Initially, we gathered CCTV footage and created a specialized dataset with 2,000 images for each vehicle category. We then trained the Deep Neural Network to classify and localize each vehicle type within video frames. Given that this application involves video processing, performance was a critical consideration alongside the accuracy of the vehicle detection.

Machine vision inspection for industrial automation

Unknown

Manufacturing sectors consistently oversee their products and components for accuracy and quality. Identifying defects during production is crucial as it reduces waste of raw materials and time, while also facilitating effective quality control. A client with a heavy industry manufacturing facility sought to enhance their production process by incorporating a tailored machine vision system designed to measure dimensions and identify defects in their manufactured goods. To accomplish this, we needed to analyze the manufacturing process and the products based on various metrics such as length, thickness, and surface texture. The primary objectives of the project were to detect the object of interest from the camera feed and measure it accurately. Since the object did not conform to a standard shape, traditional shape recognition techniques, like Hough Transforms, were inadequate for detection. Thus, we initiated the data acquisition phase by capturing video from the cameras and isolating segments related to the object of interest. This was succeeded by an annotation phase using the CVAT tool to create a segmentation dataset consisting of 5000 images. We implemented a neural network training process based on CNN architectures, including Xception, Inception, and ResNet. Our Receiver Operating Characteristic (RoC) analysis indicated that the ResNet model was performing well regarding both accuracy and processing time. Subsequently, we adapted the ResNet inference program to an edge computing platform, which was integrated with the existing camera module. This platform processed the camera feed in real time, measuring the objects and transmitting the measurements over a network connection.

OCR on expense receipts

Unknown

Accounting plays a crucial role in managing business finances. Tracking manual bills can be a tedious and error-prone process, especially when dealing with a high volume of transactions. Our client, an accounting firm, aimed to automate certain aspects of their bill reconciliation process to enhance efficiency and minimize errors. Their customers would provide manual bills for processing, and the client sought to develop an OCR system to convert expense receipt stubs that are saved as scanned documents and images. To accomplish this, we needed to extract specific details and fields from the expense receipt stubs, including the date, total amount, and tax.

1 more project

Projects & Clients

Project Size & Rate

Minimum Project Size

$25,000+

Average Hourly Rate

$25 - $49/hr

Pricing Snapshot

Min Project Size

$25,000+

Avg Hourly Rate

$25 - $49/hr

Cost Rating

N/A

What Clients Have Said

“

"Cognitive Machines delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

MOST COMMON PROJECT SIZE

0 Reviews

this range

No distribution data available.

Select a service

AI Strategy & Roadmap Consulting

Machine Learning Model Development

Conversational AI & Voice Assistant Development

AI Model Fine-Tuning & Training

Generative AI

BI & Big Data Consulting & SI

Cloud Consulting & SI

Locations

Headquarters

Floor 9, Brigade IRV Center, Whitefield Main Road

Bengaluru, Karnataka, India 560066

+916380601726

Reviews For Cognitive Machines

Submit A Review

No Reviews Yet

Be the first to share your experience working with Cognitive Machines.

Write a Review