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Robotic Process Automation (RPA) Computer Vision Reviews

Showing reviews of the top ranking products in Robotic Process Automation (RPA), containing the term Computer Vision
Automation Anywhere (AA): Computer Vision
Sr. Manager at Avenir Digital

IQ Bot is something which is going to disrupt the market in the future. We, at Avenir Digital, are particularly impressed with the evolution of IQ Bot and the kind of disruption it is bringing to the OCR space. We are also looking forward to leveraging IQ Bot in addressing a lot of other areas apart from automation or RPA as a tool. We would also want to take IQ Bot to the next level and into other areas.

When talking about IQ Bot, we are talking about computer vision, we are talking about OCR in particular. Thanks to the Digital India campaign, most Indian organizations are actually looking forward to automating their manual process in terms of scanning their ID cards, their bank cards; a lot of validation that happens manually. Everything can be automated and I believe IQ Bot could be a significant contributor there in automating all these. That is one area that we are looking forward to.

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AA
Head of Automation at a tech services company with 51-200 employees

We found that RPA with additional AI capabilities, such as machine learning and Computer Vision, can enable the organization to augment existing business operations by creating efficiencies and improving the accuracy of data to be processed, without changing too much of the existing system.

This will reduce the change cost and help business units to elevate their existing teams, processes, and systems so that they can focus on higher-value tasks that require creativity to perform.

The handwriting recognition capability in IQ Bot is particularly interesting, as we can see a high level of accuracy in extracting handwritten texts. 

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UiPath: Computer Vision
CEO at OnQ

For people who are researching this type of solution, I would suggest that they test all of them out. All of them give you an opportunity to try them. We initially made our decision to go with UiPath after looking at Automation Anywhere and Blue Prism. One of the primary factors that drove us to UiPath was developer feedback. Asking developers what platform they would choose to develop on, all of them said UiPath because it's very flexible and very intuitive. A lot of people are familiar with the .NET framework, so it's easy.

My advice for anybody who is implementing this solution is to first speak with people who have already deployed it in a similar type of target environment. Once you know how to set it up, it's easy. It depends on the infrastructure that you want, or need, for your organization. Otherwise, it's just going to be a bunch of trial and error.

From a cost perspective, the unattended bots are obviously much cheaper than the attended bots. However, to build a bot to automate a process where an unattended bot can run it is also more costly for the end-user. For us, it makes more sense to have attended bots. We also have access to a very low-cost labor pool. Because of that, it's cheaper for me to just have somebody monitoring the bots, running them manually.

Overall, this solution is awesome. I'm very excited about all of the new things. We've been doing automations for about eighteen months, and with the product from that time, to where we are today, many new things have come in. I mentioned the problems that we had with the RDP connection but Computer Vision comes out, and it makes things much easier and much more reliable. Fortunately, all those have now switched over to running directly on the servers where we're running the software, so the need for us has gone way. At the same time, I have used Computer Vision and it's great.

I would rate this solution a ten out of ten.

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Software Engineer at Security Benefit
HT
RPA Developer at a tech services company with 1,001-5,000 employees

With respect to the stability, on a scale from one to five, I would rate this solution a four. There are certain features that are incomplete and they are still working on, such as computer vision

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EE
Monitor Technology at Equifax Inc.

There are a few areas where the product can be improved for our use. Invoice processing, for us, is a major use case. I saw some examples in our research that mentioned machine learning models and how to implement that in the new, upcoming version. It seems that the machine learning would solve some of our current issues in processing. That is one feature that I would like to see and experiment with when it is released. I want to explore that to see not only what it can do, but how efficient it is and how it affects the performance of invoice processing models. The other feature we are interested in that is promised to be in the next release is the VDI (Virtual Desktop Infrastructure) desktop. 

Those two features, for us, are critical. But we also need them to be fast and efficient for us to be able to use it in practice. Otherwise, we are going to continue struggling with the solutions we already have. The solutions are kind of already there in UiPath, and I think they need to work hard on the performance of anything they release. This is especially true for those two solutions. For us to have a good business case for deploying them for use, we need them to be efficient.

A feature that we tried to use that clearly has room for improvement is the UiPath Computer Vision component. We have tried to use that but it was not efficient enough for our planned applications. It was a little disappointing. It needs to be improved in performance and in the design of the machine learning models. It is pretty easy to use for people considering the technology. I just don't think it is quite to the point where it should be.

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User at a non-profit with 10,001+ employees

The Screen Recorder has a lot of different features like web and desktop. Native and Citrix Recording are pretty useful for speeding up the design process. 

Computer Vision using Microsoft and Tesseract are pretty useful.

The new release of Studio X is a game-changer because this new app focuses on Business users. It is going to be useful for the organization because they can start creating their own automations.

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EC
RPA Developer & Consultant at a tech services company with 11-50 employees

OCR technologies and computer vision (CV) technologies work very well and produce quality results. Thanks to these products, we have created very good automations. Many of our customers are delighted to be developing projects with these features.

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RPA Developer at a tech services company with 201-500 employees

I would like to see the computer vision activity updated.

There should be a click-event-update activity present in the UI Studio where we can click a link and the result should act as a button. Right now, this feature is not available in such conditions.

The OCR should be made faster to save more time.

If I am buying production licenses from UiPath it should provide at least two or three nonproduction licenses for further use.

The Studio should be made interactive like Orchestrator.

The debug option in Studio is not working on breakpoints, which is an issue that I have already highlighted in the forum.

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RB
Business Analyst RPA at a tech services company with 10,001+ employees

I would like to see some artificial intelligence for UiPath that would help us with OCR and other things like computer vision. AI would be helpful for us to implement those kinds of solutions.

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IT Director at GarantiBank

There are a lot of really useful features in UiPath including the Orchestrator and the Studio.

The Orchestrator is one of the main tools that I use because I like to help orchestrate the bots. It is the heart of the tool and it gives me a lot of flexibility to automate or manage bots that are in the field. The Orchestration Server is one of the most important features and when you perform a deep dive, you see that it has a lot of functionality. It's great.

The Orchestrator has other features such as computer vision, AI, and machine learning, and it complements the bots and the Studio.

UiPath integrates well with Elasticsearch, which is a great search engine. ElasticSearch is more capable than UiPath for searching logs. I'm filling the gap in log reporting using ElasticSearch, where I'm feeding the logs into it and then creating dashboards, or using the analytics parts of ElasticSearch and Kibana.

The UiPath Academy is a very valuable component of this solution. Many of our employees have used the courses. With it, a person who has a little bit of an analytical mindset can easily learn to do many things. If somebody is willing to develop themselves in RPA, the UiPath academy is more than enough to do so. They will understand the components that make up the ecosystem. The academy is very good, well constructed, and has a lot of labs and exercises to help one learn the system by themself without any help, and very easily.

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SM
Manager and Lead - Digital Center of Excellence at a consultancy with 1,001-5,000 employees

One of the 2018 projects was built using version 18.2. We then got a report from users that it was not working. Most of the time, it failed on multiple use cases. When we took the process from the owner to repair and troubleshoot, we found that many packages were not being recognized by the new version, which is 2020. So, we had to upgrade to the latest package, then do a repair. It took a good amount of time for us to repair the package. We had to go back to the UAT environment, then do testing and get approval from the UAT. We then had to sign-off and deploy pre-production and post-production Hypercare. So, the automation cycle being repeated by almost 40% is quite costly to the business, but this is rare.

The vendor had already noticed these things were a big pain for us. With the recent versions, 2019 and onwards, the compatibility between the activity and packages is there. Prior to that, there were some issues. The UI automation package was the one that was mostly affected. Many people who were early adopters of UiPath observed or experienced these kinds of issues.

Sometimes, when we are using Remote Desktop automations, we may need to use a different approach along with the AI functionalities. For example, if I need to recognize the object on the screen, which I cannot do using native methods, then along with the AI functionality, I may need to have a backup method, such as the OCL methods along with AI Computer Visions. This ensures that it works robustly and my solutions deliver 100% results without any manual intervention. In such complex scenarios, we are using AI features along with multiple methods for the backing up of the AI features. We have to ensure that if something goes wrong with the AI features then we have another method which will ensure, if A fails, then B will back up our solution's process as expected.

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RPA UIPath Trainee at a non-profit with 11-50 employees

I've created an app for conversions and exchange rates. Every day I need the exchange rate of a certain currency and I use the API free exchange and UiPath.

It's also used for the reconciliation of invoices.

I've used it for the creation of an onboarding bot for employees to be onboarded onto a website with a remote system. I used AWS and a virtual machine and created a Google Form from there, and used UiPath's computer vision to do onboarding activities and extract data from files. PDF files can then be entered into the remote system. UiPath can be used to fill the forms.

It can be used for web extraction tasks as well, for example, for booking flights, where you can extract the flight details for particular search criteria and place them into an Excel sheet.

It can also be used to extract data from invoices in order to populate an Excel sheet, for a portable format. I've created a process that used documents as a learning model and extracted the invoices, using logic to output the transactions. 

Another use case I tried was extracting data from Amazon based on exact data. The same can be done on Linkedin using the Linkedin API. I'm fine-tuning and extracting data, putting the outputs on Google Sheets.

I've experimented with many use cases and automated many processes. 

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MS
Application Development Specialist at a tech services company with 10,001+ employees

UiPath has helped to improve our organization in several ways. Prior to UiPath, the company was using legacy methods of automation. These were time-consuming and required that more code be written. With the ease of use and speed at which automations can be developed using UiPath, the company is bringing on new clients and therefore, more business.

UiPath and the automations that we create help us to better utilize our resources. For example, a manual task that used to take between seven and eight days can be completed in one or two days with automation.

This product is bringing new clients to the business and nowadays, all of our clients require something to be done in the domain of robotic process automation. 

With respect to ease of use and building automations, UiPath is very good. I would rate them at least a four out of five in that regard, especially when compared to other products on the market. The ease of building automations makes them quick to create and it can be accomplished by people in the business sector.

UiPath enables and helps us to create end-to-end automations, and it divides all of the subtasks up in a good way. For example, monitoring processes is different from developing code, and each of these is separated such that they are independent, but we can link them together for the benefit of the process. This is important because I am a complete process developer, so having all of the different subtasks available in one tool allows me to best develop automation for our clients.

This solution has helped to decrease our time to value, which is something that is evident when you look at the automation we were doing previously. Our technologies included Python, VBScript, and other ways. These approaches took more time to develop and are a little bit more complex. With the help of this tool, it takes less time to build the same automation. It allows us to focus on building the logic and algorithms, without having to deep-dive into things like syntax. By allowing us to focus on the business logic for each process, it leads to significant time savings.

We use the attended automation feature and it helps us when it comes to tasks that require interaction between user and application, such as the necessity to enter credentials. It is quite helpful, in particular for BPM processes, and this is something that is important to us. The typical case is when somebody is doing repetitive work as part of their task. In other words, they are working on one task, and the bot is working beside them but needs the occasional input from the user. In these processes, the bot is doing 80% of the work and the user is doing the remaining 20%.

We use the AI functionality because it makes it feasible to automate processes that are quite complex. For example, Document Understanding and NLP from the UiPath Cloud are things that we use. 

The AI features enhance UiPath's capabilities and allow us to automate more processes overall. Previously, when we were doing a specific task, we may not have been able to fully automate it. With the help of AI, we can do more.

In previous iterations of our bots, before the AI features were used, we were not able to get all of the information that we needed from PDF files. This is specific to certain use cases, to present an example. The AI functionality generally gives us more data, whether from document understanding, computer vision, or otherwise.

UiPath has helped to reduce human error because the bot is doing everything and eliminates the opportunity for people to make mistakes in the process. UiPath has had a positive impact in this regard, although we have had successes with other similar tools as well.

UiPath and automation have helped to free up employee time and nowadays, they are more creative because of it. With many of their tasks automated, they have time to work on things that are more creative and have a higher value.

For example, for a task that used to take an employee 10 hours, they are now spending between three and four hours on it. In the remaining six hours, they can be more productive and work on more important tasks. This not only helps the employee but adds value to the company as well.

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HelpSystems AutoMate: Computer Vision
Automation Architect at Credibanco

This tool has machine learning and voice recognition and computer vision, which are both quite useful aspects. These aren't available in other tools. It's a good addition to this tool and it gives the solution an edge on the market.  

The initial setup is easy. The deployment doesn't take too long.

Technical support is helpful. We use them a lot and they are quite responsive. 

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Jiffy.ai Automate: Computer Vision
AM
Digital Project Manager at a aerospace/defense firm with 501-1,000 employees

The most valuable feature is the computer vision or OCR. That has a lot of use cases in real life. A lot of man hours can be saved, as we've seen in the finance processes and also in my future use cases. The feedback I have gotten from the team is that the OCR is quite powerful. I'm really looking forward to that.

For the finance processes, from what I know, Jiffy integrated quite well with the Oracle system. Most of the finance requests have been taken care of. It handled the integration pretty well.

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