Vehicle Detection (ESRI Release)

Aventior

Esri Support ServicesOverview

Formed in 2016, Aventior and its founders have been strategic implementation partners for small and large enterprises. A global presence to tap into both matured and developing markets with round-the-clock execution capabilities. Our team brings a well-rounded cross-industry and multi-client perspective, with a strategy grounded in design, implementation, and innovation. Aventior is a technology consulting firm assisting its clients on their Digital Transformation journey with a primary focus on building Digital, Cloud and AI, and GIS solutions that significantly improve their business outcomes.

Services

Since 2016, Aventior has been providing top-notch geospatial intelligence services, computer vision, and deep learning solutions to a wide variety of clientele across the globe. Aventior solutions aim at monitoring urban planning and monitoring, infrastructure change detection, vehicle detection and count, traffic management, intelligence & reconnaissance, and map open\spaces. Our standard services include:

(1) GIS Support Services

(2) Enterprise GIS Software Development and Training

(3) GIS Data Management

(4) Deep Learning Solution through ArcGIS Online

(5) Enterprise GIS Monitoring

For more information on our service offerings contact us at [email protected]

ArcGIS Pro Managed Services

Vehicle Detection in satellite imagery

What is this for?

The Vehicle detection deep learning model is developed to detect vehicles. While it’s designed to work in the continental US, the model is seen to perform fairly well in other parts of the world. The results can be used for a variety of purposes, including base map preparation, humanitarian aid, disaster management, and transportation planning. Applications range from taxation, urban planning, public works, visualization, simulation to a wide range of suitability analysis applications.

Sample Detections

Imagery

This model has a good performing capability with high-resolution imagery(30 cm).

Licensing requirement

The model can be downloaded by anyone who has an ArcGIS Online subscription. The following licenses are required to consume or run the model.

Desktop workflows – Image Analyst Extension for ArcGIS Pro.

Using the model

The model can be used with the Detect Objects Using Deep Learning tool. A detailed tutorial on using the model in ArcGIS can be found.

For a deep learning model file and detailed tutorial on using the model please contact us at [email protected].

Aventior

Metadata management for Digital Pathology

Aventior 2021-06-16

Label Extraction and AI for Digital PathologyTissue-based studies generate large amounts of histology data containing important biological information in the form of imagery and metadata.

These digital pathology slides are labeled using text and barcodes for their identification.

The older technologies used printed or handwritten labels for specimen labeling.

The Label Extraction Solution uses state-of-the-art OCR technologies, image processing, and AI to read, understand, and store label data from digital pathology slides.

Additional manual validation of the data leads to a highly automated process which reduces the time to search and find slides.

The extracted label text is translated into a structured data format, stored in a database with search capabilities.

Embarking on the Futuristic Frontier: Exploring the Metaverse Virtual City

Donnalenk0420 2024-01-22

Unveiling the Metaverse Virtual City: A Digital UtopiaThe Metaverse Virtual City is a visionary concept that envisions a fully immersive digital environment where users can interact, work, and play in a simulated yet hyper-realistic setting. Exploring the Economic Landscape of the Metaverse Virtual CityBeyond its entertainment value, the Metaverse Virtual City boasts a thriving digital economy. The Social Fabric of the Virtual MetropolisIn the Metaverse Virtual City, social interactions transcend geographical boundaries. As we embrace this transformative journey, the keywords Metaverse Virtual City, Metaproalne, and Metaverse products become not just buzzwords but integral elements shaping the narrative of our digital future. The metamorphosis of our reality is underway, and the Metaverse Virtual City stands as a testament to the limitless possibilities that lie ahead.

The Contribution of Machine Learning in Cyber security

phd Assistance 2022-09-16

Particularly with the emergence of deep learning, machine learning (ML) technologies are already being used to address various real-world issues. There is a huge gap between research and practise, but the application of ML in cyber security is still in its infancy. As a result of the current state of the art, which prevents recognising the function of ML in cyber security, this disagreement has its origins there. Beyond Detection: Additional Roles of Machine Learning in CybersecurityThere are numerous other functions in cyber security that ML can fill in addition to threat detection. To establish the groundwork for a greater deployment of ML solutions to safeguard present and future systems, this log aims to stimulate significant improvements of machine learning (ML) in the field of cyber security.

5G Driving the Evolution of AI

USM BUSINESS SYSTEMS 2021-01-18

5G is an important part of the evolution of cloud-computing ecosystems towards more distributed environments, even though it is still many years away from widespread expansion.

Between now and 2025, the networking industry is investing $ 5 trillion globally in 5G, supporting the rapid adoption of mobile, edge, and embedded devices in every sphere of our lives.5G is a major catalyst for the trend, under which more workload is being implemented and data is on edge devices.

AI will play an important part in ensuring that 5G networks are optimized 24 × 7 end-to-end.How 5G Can Use AIAI hybrid lives on every edge of the clouds, multi-cloud, and future mesh networks.

Already, we have seen major AI platform vendors make significant investments in 5G-based services for 5 Mobility, Internet of Things (IoT), and other edge environments.To better understand how 5G empowers the online economy, let’s consider how this emerging wireless architecture delivers value across the AI in telecom toolchain:Next-Generation Edge Convergence with AI Systems on the Chip5G combines digital cellular technology with wireless long-term evolution and Wi-Fi interface.

When deployed on cross-technology network interfaces, 5G allows each edge device to rotate smoothly between indoor and wide-area environments.The adoption of technology someday meets the radio spectra for these asymmetric radio channels and network interfaces to single chips that are active in maintaining seamless connections across multiple radio access technologies.

As a result, 5G has a much faster download and upload speed than 4G: 20 gigabits per second, which is 4 times the rate of 5–12 megabits per second.Most of the application of 5G arises from the ability to transmit data over multiple bitstreams simultaneously between the bandwidth and the transmission capacity connection base station and edge devices.How AI can benefit 5GAI is also a key component of infrastructure to ensure that 5G networks, in all their complexity, can support AI and other application workloads.

EVERYDAY APPLICATIONS OF ARTIFICIAL INTELLIGENCE [UPDATED 2020]

Jacob Cole 2020-08-31

Artificial intelligence is surely expected to achieve the unexpected; in every possible way.

Here are some of the everyday applications, which you may have not noticed before.

Everything you should know about Machine Learning Vs Deep Learning: How AI subsets differ in handling these? Everything you should know about Machine Learning Vs Deep Learning: How AI subsets differ in handling these?

way2smile solutions 2020-11-27

AI has been the latest trend which is implemented across various sectors.

Its subsets Machine Learning & Deep Learning are also making huge impacts.

In this blog, we have discussed in detail about them.Learn More at :Digital Transfomation Companies in Chennai.

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Artificial Intelligence and Machine Learning Solutions | Zencode

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Zencode was founded in 2013 as an IT outsourcing company.

We set up our first Delivery Centre at Chennai, India in 2014.

We outgrew the garage to a full fledged office within 2 years.Along the way, we also expanded our market footprint to Hong Kong and setup our AI & Blockchain practice at Bangalore, India.Today, we can help you build your IT platforms from start to finish.

From design to coding to implementation and support .

Zen is a business application that will revolutionise the way a company does things; A marketplace that brings various people together; A custom business application for your business; A mobile application that uses crowdsourcing to bring convenience to customers; or a myriad of potential new industries, ask Zencode to help you with the implementation.Email Address Sales : [email protected] HR : [email protected] us: BANGALORE III & IV Floors, NCR Complex 580/B, Sector 6, HSR layout, Bengalore-560102

What are AI Content Writing Tools? And Should You Use Copydash?

Copy Dash 2023-02-22

Copydash is an AI-powered content marketing platform that helps marketers create content faster and more accurately. It also helps marketers create content for specific topics, optimize the content for SEO, and measure the performance of the content. Although AI writing isn't a replacement for humans, it can be an excellent productivity tool for streamlining the content production process. How do Copydash AI content writing tools work? Similarly, just like humans have to research existing content before writing something original, AI tools scan the web for relevant content and use the given instructions to produce fresh output.

How AI Can Help Small And Medium Businesses Compete Against Big Companies

elisha moskel 2020-08-14

The current economic environment enables many large companies to succeed, while many small and medium businesses (SMBs) are suffering. According to a survey by Vistage, SMBs are using AI primarily in the following four areas: business operations, customer engagement, talent management, and finance. Let's look at what some companies are doing and some vendors and consultancies to consider. For products on the product roadmap, digital testing and predictions of prototype results can significantly reduce time to market. Manufacturing firms are using AI to optimize the entire manufacturing process's performance, including predictive maintenance, inventory management, and supply chain management. Further, AI can augment what a sales rep is doing by suggesting next-best actions to move a prospect through the sales funnel.

Data Annotation In Artificial Intelligence

aispotters llc 2019-10-14

With the great leap of technology, people are used to get and provide services instantly.

Business today, get adapted to the digital flow and has enhanced their tone.Technology like Artificial intelligence, Internet Of Things, Augmented Reality, Virtual Reality, Blockchain technology are rule today and gonna rule tomorrow.Among others Artificial Intelligence plays a predominant role in the development of all sectors.

?Ina simple layman terms, artificial intelligence is an ability of machines to think, act and learn as humans do.

To make it possible the computer has to learn how to react to different situations, this done with given detailed set of instructions and then lots of data to work with it.AI has widespread and has shown achievements in the field of finance, education, military, healthcare and other sectors.AI!

Is It Possible?Yes, AI is possible in today’s world with machine learning.

Machine learning is nothing but a scientific study of algorithms and statistical models that rely only on pattern and interference instead of indulging into complex vode that tells machines to perform a specific task.

Role of Artificial Intelligence and Machine Learning in 2020

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Artificial Intelligence is also known as machine intelligence, where machines mimic the intelligence of the human mind and actions.

The primary purpose of artificial intelligence is to make rational decisions according to the circumstances.

The correct implementation of AI can carry more complex tasks with less time.

Artificial intelligence has received an upward trend of growth, leading to the development of human society and multiple industries, and artificial intelligence will continue to grow in promising ways for consumers and various businesses.As 2020 has not been a great year so far because of COVID-19, artificial intelligence has played a massive role in combating the pandemic induced situations.

Every ounce of technological advances and innovations helped us to fight the pandemic.Every organization is finding new ways to operate effectively and to serve their customers as social distancing measures remain in place.

These chatbots have provided the answer to almost every possible question, from evaluation to exercise without putting the human resource at risk.Machine learning and artificial intelligence have helped researchers to analyze a large volume of data to take preventive measures.

Learn Deep about Machine Learning

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The most advanced technology/concept of this era might be Artificial Intelligence but everyone wonder how it works.

Artificial Intelligence is like introducing a brain to the machine which can be used while the system need to make some decision or process data.

How to introduce this brain to the machine?

How efficient the machine will make use of this brain?

Let’s look at the answers for this question?

Understanding Hyperautomation: Unleashing the Power of Automated Intelligence

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Differentiating Hyperautomation from Traditional AutomationIn contrast to classical automation, which focuses on automating routine operations and procedures, hyperautomation broadens the definition of automation to encompass more cognitive functions. Financial Processes: By automating data entry, invoice processing, and payment reconciliation, hyperautomation can streamline financial procedures like accounts payable and receivable. Benefits of HyperautomationIncreased Efficiency: Hyperautomation replaces manual intervention, minimises errors, and speeds up operations by automating complicated jobs and processes. Businesses may make wise decisions based on current knowledge by automating data processing and analysis, which enhances overall decision-making processes. Embracing hyperautomation can give organisations a competitive edge in the future's increasingly automated and digital business landscape.

Credit Card Fraud Detection and Prevention: The Complete Guide

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Even in the 2010s quite a lot of American retail website users suffered from online transaction frauds until the two-step verification came into power while shopping online.However, credit card frauds are still a challenge for money transaction platform owners or small to global retail services and hundreds of online frauds keep popping up daily as long as unauthorized card transactions hit the record amount of 16.7 million victims in 2017 (as reported by Javelin Strategy & Research).

Additionally, according to the Federal Trade Commission (FTC), the number of credit card fraud claims in 2017 overcame the previous year’s number of frauds by 40%.

) Among these Fraud Detection and Prevention techniques, predictive Machine Learning models are the one that belongs to smart Internet security solutions.

After the patterns are discovered, there is a Pattern Recognition phase which can detect classes, clusters, and patterns of suspicious behavior.

For example, the Neural Networks approach helps to automatically identify characteristics found in fraud, which is the most effective if you have a lot of transaction samples.

Whenever a user requests a transaction, it is being processed for some time and depending on the level of predicted fraud probability there are 3 kinds of possible outputs:If the probability is less than 10%, the transaction is allowed;If the probability is between 10% and 80%, additional authentication factor (one time SMS code, Fingerprint, Secret Question) should be applied;If the probability is more than 80%, the transaction is frozen, so it should be processed manually.

top 5 ingredients of AI based Contract Analytics Platforms

Vamshi Krishna 2020-05-27

There are several ways organizations deal with the contracting process.

Few manage it with word-based drafting and redlining coupled with storing in repositories like Drop Box or SharePoint and some deploy automated contract management systems for this process that also include collaboration.https://blogs.docskiff.ai/top-5-ingredients-of-ai-based-contract-analytics-platforms/

Meng Computing Machine Learning Training in Bangalore

ExcelR Solutions 2019-09-17

Machine Learning Training is predicted as the way forward for information expertise and we goal to carry this fascinating training in Bangalore by way of our training institute.

Machine Learning Training in Bangalore could be very completely different, and is the kind of adaptable intellect present in humans, a flexible type of intelligence capable of learning the best way to perform vastly different duties, something from haircutting to building spreadsheets, or to reason about a wide variety of subjects based mostly on its gathered experience.

A mannequin is nothing but a program that improves its information through a learning course of by making observations about its surroundings.

The demonstration of using Python and iPython provide an outline how the appliance works internally.Eire is emerging as an important world leader in Artificial Intelligence and in 2017 under the title of AI Island IDA Eire outlined its visions for Irish research and Ireland-based mostly firms to set the standard in AI.

Firms which have an AI presence established in Eire embrace: Siemens, Zalando, SAP, HubSpot, Deutsche Bank, Amazon Internet Services, Salesforce, Ericsson, Intel, Dell EMC, Microsoft, Fujitsu, Mastercard, Within the next 4 to 5 years, one in 5 employees engaged in principally non-routine duties will need to upskill to tackle new roles that rely on AI to do a job.

Within the backdrop of such demand, the proposed Graduate Certificates in Artificial Intelligence course is designed to deal with a few of the skills shortages.Synthetic intelligence uses a progressive studying algorithm to let the data do the programming.

4 Types of Data Analytics that support Artificial Intelligence

Optisol Business 2020-04-21

Data analytics involves a four-stage process that builds on itself and uses machine learning (ML) and AI in the final phases to predict outcomes and suggest options to respond to those predictions.

In this article, we shall focus on the 4 types of data analytics we encounter in data science: DescriptiveDiagnosticPredictivePrescriptive Descriptive Analytics:This is the most common of all forms.

In describing the past, descriptive analytics lays the groundwork for how these events may affect future outcomes.

Then queries, reports, and data visualizations can further yield deeper insight.

Diagnostic data analytics help answer why something occurred.

Prescriptive Analytics:The final phase, prescriptive analytics, attempts to find the best course of action, solution or outcome among various choices, building off descriptive analytics’ insight into what happened and predictive analytics’ forecast of what might happen.

How Does Ai Help In Claims Processing?

anusree as 2020-10-21

Perhaps the greatest hitches at the accomplishment of promoting is the spilling can.

In advertising, the spilling container would be where an advertiser doesn't know which of its promoting speculation is taking care of.

Of late, with the computerized change in the protection business, organizations have begun utilizing innovations to streamline the progress from strategy issuance to guarantee settlement.

One of the most utilitarian advancements that have investigated every possibility in its quest for conveying flawlessness is Artificial intelligence in insuranceRead more ; Click here

7 ways for enhancing One's Market Presence Using Artificial Intellegence

infoxen technologies 2020-04-30

About 57% of executives believe that machine learning can be beneficial for marketing.From proffering the twenty-four-hour service on an online e-commerce website to inducing smart chatting bots on your professional business website, the new ways of media are targeting the potential customer in every way they can!

However, establishing one’s own market presence in the competitive world of entrepreneurs, mega business giants, brand firms and potential customer base isn’t that easy as it looks!

But here, we’ve come up with following seven exclusive ways for enhancing your market presence using artificial intelligence and machine learning.

It is the potential of AI that makes it more substantial and powerful for the coming market of morrow!

IMAGE DATASETS SERVICES

Global Technology Solutions 2021-05-31

GTS is on the move to providing the best pictureData collection and classification dataset which can makeEvery computer vision project a huge success.

The best image datacollection services to developing high-performing AI and MachineLearning versions.