Areas of application of computer vision in agriculture (part 1)
By leveraging computer vision technologies in crop planning, farmers and agricultural planners can make data-driven decisions, optimize resource usage, maximize productivity, and enhance sustainability in agriculture. Production planning Computer vision algorithms can analyze satellite imagery and terrain data to assess the suitability of land for different types of crops. By examining factors such as soil quality, topography, […]
Data quantity vs Data quality
Data quantity refers to the amount of data that is available for analysis. In general, the more data that is available, the better the chances of identifying patterns and trends within the data. On the other hand, data quality refers to the accuracy, completeness, and relevance of the data being analyzed. High-quality data is essential […]
Areas of application of computer vision in retail stores
It’s no secret that retail stores are very eager to apply new technologies, thanks to which they achieve their operational goals more efficiently. Not at all the latest idea is the use of computer vision in this industry, today we will tell you about two potential applications customer journey and merchandising, as part of our […]
How computer vision improves the quality control process
Fast and accurate Quality control is extremely important in the mass production process Computer vision in quality control of wood flooring production Wood-based industry produces billions of products annually. Computer Vision can be extremely helpful in detecting quality anomalies, as it enables the automation of quality control processes, providing faster, more accurate, and more consistent results […]
Event venues challenges, how to improve operational efficiency?
Benefits Sports arenas, stadiums, concert halls, theaters, conference venues. Challenge: at-home viewing experience of mass events like matches or concerts is in many ways better than live presence at the event venues: Affordable: first-row view is offered at no or low cost Time-saving: no traveling to the venue, no traffic and parking issues, no waiting […]
Computer vision for vehicle detection
Vehicle detection The ability to recognize vehicles and track their motion patterns opens a variety of applications. The most common include car counting or measuring time of vehicle appearance in the area of interest. Vehicle detection allows not only for simple detection of an object in the given area, but also ensures a level of certainty that […]
Areas of application for computer vision algorithms (Part 2)
Analyzing human traffic Modern surveillance systems powered by computer vision, consisting of cameras monitoring the areas of interest for 24h/7, both indoor as well as outdoor, are great sources of data. People moving within the monitored areas can be observed and recorded for many reasons, such as commercial analysis, research or statistics. As human inspection […]
Areas of application for computer vision algorithms (Part 1)
Computer vision in industrial operations Computer vision is a set of image processing techniques designed to understand the content of an image and enable automated system response. Combined with the rapid increase in available computing power, these algorithms are a powerful tool for automating industrial processes. So what can computer vision do for your company? Well, […]
The importance of details
Do details matter in image annotation? For example, when we want to train a human detection model for street camera views, what is the best strategy in annotation? In most real-world situations, images will contain partially occluded silhouettes. If we see only the lower half of the body or only the upper half, should they […]
Taskforce oriented to deliver best quality dataset for AI models
When approaching building an AI model, one should decide on the right dataset to be used for training and evaluation of the developed model. If you are an ML hobbyist, the generally accessible dataset will probably suffice. But models built for industrial applications usually require more attention on data preparation and fine tuning (see our […]