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CTO | Computer Vision | Artificial Intelligence | Machine Learning | MLOps | DevOps | IoT | Cloud & Edge Computing | Technology | Innvoation | Leadership | Strategy

Gerard Corrigan

viso.ai

Viso provides a full-stack platform for building, deploying, and scaling computer vision applications across various use cases. The platform supports the entire AI lifecycle, including data collection, annotation, model training, and deployment.

Viso

We enable organizations worldwide to power computer vision. 
Viso Suite is the end-to-end computer vision platform to build, deploy, and operate computer vision from one place. Our no-code technology makes computer vision development 10x faster, flexible, and future-proof.

Best in Class No Code AI Vision:
Viso Suite is an industry-agnostic, hardware-agnostic, high-performing, and scalable no-code/low-code cloud platform, providing a visual programming interface to build robust visual AI applications dramatically faster.

All-in-One Suite of Software:
Viso Suite is packed with all the tools needed to build, distribute, and operate professional visual AI solutions. Viso Suite seamlessly integrates  Image Annotation, Application Building, Device Management, Deployment Center, Dashboard Builder, Access Management, Zero-Trust Security, etc. Move from POC to production without the need to integrate hardware, cameras, different ML platforms, algorithms, computer vision software, or infrastructure.

Innovate much faster:
With fully integrated tools that are ready out-of-the-box, you can expect Viso Suite to revolutionize how AI Vision technology is developed. Accelerate time-to-market by 10x with automated development and deployment. Expect drastically shorter development cycles, also after product launch.

Unrivaled Scalability:
Viso Suite offers unique technology allowing teams to scale a portfolio of applications without limits. The fully managed IoT infrastructure supports deploying and managing thousands of edge devices or virtual devices. Use powerful tools for remote debugging and troubleshooting of edge devices. In addition, Viso Suite is highly extensible and lets you add custom code, docker containers, or integrate with your BI tools and databases.

Ease of use:
Viso Suite is suitable for both vision experts and new developers with basic software/hardware knowledge. The model-driven architecture enables collaboration between business and technical teams.

Our 2024 computer vision survey is here 📢 

We want to hear from you! Tell us about your computer vision challenges, the tools you use, your industry, and more.

The survey consists of 10 key questions and is completely anonymous. We greatly appreciate your time.

🔗 Link in comments 🔗

#AISurvey #ComputerVisionSurvey #2024AITrends

We are growing the Viso team 📈 

Viso Suite is the only enterprise no-code computer vision platform that covers the entire ML pipeline. We're immensely proud to say that our technology has helped transform industries, society, and generations. 

By joining the Viso team, you'll get to witness our ambitious approach to no-code computer vision first-hand. At this time we have positions available in:
✅ MLOps
✅ Edge Engineering
✅ Sales

Additionally, our workforce is remote-first, meaning that you can come aboard from anywhere in the world. Check out all of our open positions and see how you can help propel the world of no-code computer vision forward 🔗

#AIJobs #MLJob #HiringNow

Let's talk about "Bigfoot" 👀

You're probably thinking, "Viso is a computer vision platform, why are they bringing up Nicki Minaj's latest song."

Well, it is speculated that some of the album art for Bigfoot is AI-generated. From bizarrely shaped hands to illegible text to inconsistent lighting patterns, we'll leave the final verdict up to you. 🤷

🤔 Why Does This Matter?

In the United States, US District Judge Beryl Howell ruled that only human-generated art or inventions qualify for copyright, thus disqualifying AI-generated materials. 

For Nicki Minaj, this is a big deal because if her album art is truly AI-generated, then under US law she does not have ownership of this very imagery that will no doubt be widely circulated. Aka anyone can legally use this imagery without needing to pay for it. 

Around the world, other governments have started codifying what they believe to be protected intellectual property. India, the UK, Ireland, and New Zealand have chosen to take a different approach and attribute ownership to human individuals, these often being engineers or developers. 

UK copyright law states "In the case of a literary, dramatic, musical or artistic work which is computer-generated, the author shall be taken to be the person by whom the arrangements necessary for the creation of the work are undertaken."

So, who do you think should be the rightful owner of AI-generated content? 

Learn more about IP protection in the world of AI 🔗 

#IPProtection #ANNs #AIGeneratedArt

A key feature of our Viso Suite platform is the ability to build full-scale computer vision applications without writing any code.⚡

Within the editor, users can build out logic and wire together multiple cameras and computer vision capabilities. It can also easily integrate into existing systems. 

✅ Visual Drag and Drop
✅ Building Block Library
✅ Application Manager

Viso Suite solves enterprise challenges across domains, industries, and use cases. To check out the full scale of features, visit the Viso Suite feature index 🔗 https://lnkd.in/d7kTbc9J

#NoCodePlatform #ComputerVisionSolution #NoCodeAI

Computer vision contributes to creating hyper-realistic experiences in the world of mixed-reality 👀

In Augmented Reality (AR), computer vision is used for: 
🔘 Object Recognition in visual data 
🔘 Object tracking to understand movement and count people and objects 
🔘 Simultaneous localization and mapping (SLAM) for robots to localize themselves on a map

And, in Virtual Reality (VR) CV is used for: 
🔘 Hand pose estimation and gesture tracking 
🔘 Eye-tracking and gaze recognition 
🔘 Room mapping and point-cloud techniques

Check out our latest blog to learn more about the role of computer vision in AR and VR applications 🔗

#AugmentedReality #VirtualReality #ComputerVisionApplications

Computer vision has introduced advanced automation, quality control, and optimization techniques in manufacturing. CV systems employ cameras and image processing algorithms to analyze visual data in real-time, thus enabling precise monitoring of operations.🧑🏭

Let's use quality inspection as an example. CV systems can identify defects, inconsistencies, or anomalies in products and machinery. See the image of the forklift containing a scratch below.⚙️

By automating these types of quality control tasks, manufacturers reduce production costs and minimize instances of defective products reaching the market. ✅

Other examples of CV manufacturing solutions include:
🔘 Inventory monitoring
🔘 Tracking products on assembly lines
🔘 Product measurement & inspection
🔘 Hazard detection & safety monitoring
🔘 QR code & barcode scanning

Computer vision technologies applied in manufacturing result in greater precision, reliability, and agility. Learn more about computer vision solutions for the manufacturing industry 🔗 https://lnkd.in/gpDFtH-j

#ManufacturingSolutions #manufacturingindustry #manufacturingtechnology

🤨 Three key reasons make emotion detection and sentiment analysis a bit controversial in computer vision: 😯

1️⃣ Subjectivity of Emotions: Of course, emotions are subjective and context-dependent. Different cultures, people, or situations may interpret or express emotions differently. 
2️⃣ Facial Expression Variability: Facial expression imagery is a common data source for emotion analysis. While some individuals express emotions subtly, others may be more expressive. 
3️⃣ Cultural Differences: Cultural norms play a role in how emotions are expressed and perceived. What's considered a typical facial expression for a particular emotion in one culture might have a completely different meaning in another.

Learn about the industry's current approach to emotion detection and sentiment analysis 😀 

#EmotionDetection #SentimentAnalysis #ComputerVisionAI

According to the Activation-Synthesis Theory introduced by Allan Hobson and Robert McCarley in 1977, activation refers to the spontaneous firing of neurons in the brainstem during REM sleep. ☁️

Activation functions in ML (particularly ANNs), just like neural firing, determine the output of artificial neurons in neural networks. Thus, extracting patterns from input data. However, unlike neuron firing while dreaming, the activations in ANNs are purposeful and directed toward specific tasks.

While the Activation-Synthesis Theory doesn't directly inform ML, the analogy conveys the shared concept of interpreting neural activations in both contexts – one in neuroscience, explaining dreaming, and the other in AI and ML. 🧠

Read more about the role of neuron activation in computer vision 🔗 

#NeuronActivation #AITheory #ComputerVision

RE: Contribute to the Computer Vision in 2024 Report

Each quarter, we will be releasing updates to our State of Computer Vision 2024 Report. In this report, we examine the current CV landscape and forecast upcoming trends. 📈

Want to stay up-to-date with the CV industry? You can contribute to our findings by filling out our survey. 🔗

#ComputerVision2024 #StateoftheIndustry #AISurvey

What are deepfakes? 👀

Representing one of the more controversial advancements in AI, deepfake algorithms utilize deep neural networks to alter or generate realistic multimedia content. This content can include videos or images created by superimposing one person's likeness onto another. 

We've seen users create deepfakes of themselves to appear older or in Anthony Bourdain's biopic, to replicate his voice.  

While deepfakes definitely hold entertainment value, their potential for misuse has sparked concerns. 

⭕ Spreading misinformation: an altered video of Nancy Pelosi showed the ex-US Speaker of the House stammering while delivering a speech. 
⭕ Identity theft: a doctored video of a CEO was sent to employees, which demanded a transfer of more than 220k euros to a Hungarian supplier. 
⭕ Cyber-threats: A Pennsylvania mother sent harassing videos to her daughter's peers on the cheer team. 

Learn more about deepfake technology and ethics in our latest blog 🔗

#deepfakes #GANs #deepfakeAI

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Gerard Corrigan

Chief Technology Officer