Several years ago, finding and classifying individual objects within an image was an extremely difficult task. Today, digital devices, using computer vision object detection, can easily and quickly identify the contents of images. This enables new ways of visual data understanding and analysis in various industries. Despite its advantages, traditional object detection can be [...]
Welcome to the 4th and final step on how to start using Computer Vision! Previously, we highlighted the benefits of deploying and running a Computer Vision model. We also explained the process of automating human inputs & decisions with our “Observing>Influencing>Acting” cycle, which we presented in one half of a double feedback loop. In this [...]
By now, you already know some of the most important steps on how to start using Computer Vision. In one of our previous blogs, we showed you how labelling technique helps you structure visual data. Next to that, we also explained how to generate more data to train the AI-driven Computer Vision models, and [...]
Last time, we discussed how computer vision can learn everything we see and what to do if little data is available. Now that we have enough data, the next step would be to determine what type of model we want to train. The questions are: "How long do we have to train the model?" [...]
Thievery often happens in places like storage areas or depots, as they provide easy access to hundreds of items in one location. Plus, many of these facilities are not adequately secured, allowing thieves to slip in and out unnoticeably. Merely placing security surveillance is often not a good enough solution. Envision having an intelligent [...]
In the previous blog How Computer Vision Can Learn Everything That We See, we went over what type of data an image is and how we can interpret it. We also talked about how to label images and how this is used to train a model. But what if there is little to no data [...]
In our “4 Quick & Easy steps to start using Computer Vision” blog, we introduced you to 4 easy steps of getting started with Computer Vision. Today we will take a deeper look into the very first step "Structure your visual data" or what we often call "labelling". Let's find out why it is [...]
It's amazing to see all the things that are possible with image processing and computer vision nowadays. Yet, many organizations are still in the dark about the boundless potential of these modern technologies. Some believe that diving into the realm of computer vision requires a massive investment. But fear not, as we are here to [...]
Calving is an essential event in dairy farming where help from the farmer is often needed, so knowing when a cow is going to calve is very important. For dairy farmers, having access to real-time data of cows' behaviors is crucial, since unusual behavior often indicates "troubles". Thankfully, increasing availability and advances in technology [...]
