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Introduction to artificial intelligence in image processing



Welcome to the exciting field of artificial intelligence applied to image processing, where algorithms transform images into rich data. While ChatGPT has been recognized for its excellence in its domain focused on natural language processing, it is not part of image processing AI. It is essential to mention that other fields in AI are still progressing and have not reached their full potential, such as the field of Vision pursued by VizioSense, but also by major companies like Facebook or Google.


In this article, we explore how AI algorithms such as those embedded in our intelligent parking sensors are transforming pixels, part of a constantly evolving visual revolution.





Foundations of AI applied to image processing



Artificial intelligence is able to detect objects of interest, classify them and differentiate between them. Computer vision is a key sector of artificial intelligence, giving computer systems the ability to extract information from visual content such as digital images and videos. While artificial intelligence allows machines to 'think', computer vision gives them the capacity to 'see'.


The core of computer vision lies in machines' capacity to perform precise real-time tasks, employing cameras, extensive datasets, and advanced algorithms. This process demands substantial amounts of data to refine models, enhancing their ability to discern subtle details. It entails an iterative analysis of data, with significant distinctions progressively recognized over time.


Computer vision transforms visual information into a pattern that machines can interpret. Finally, information processing guides them toward informed decisions based on their observations. However, these decisions must still adhere to a recognition threshold.


Subsequently, it can make decisions based on its recognition threshold of these patterns. This amalgamation of visual perception, machine learning, and information processing characterizes computer vision.






Practical benefits for intelligent parking



Using computer vision, VizioSense's first solution was VizioPark to revolutionise the market for intelligent parking technologies. By incorporating AI functionalities into the sensor, it is possible to extract information for real-time parking monitoring on the occupation rate of a car park and the parking time.

We have transformed cameras into non-intrusive sensors with local image analysis and minimal data transmission. Our sensors are unique in that they respect privacy. In fact, the image is analysed on-board so that only the seat occupation information is extracted. We make these images anonymous by using low resolution and blurring, so anything that looks like a human face, or a number plate is not recognisable.


Our sensors also offer the best combination of hardware and computer vision technology to deliver unparalleled performance in all weather conditions; with fast, low-cost installation.

The VizioPark solution enhances the parking experience, whether in cities, airports, railway stations, rest areas, and more.


Indeed, the integration of artificial intelligence into image processing systems for intelligent parking optimizes space utilization, saving time, and fostering urban planning development. These solutions not only reduce traffic but also contribute to a reduction in CO2 emissions.


VizioSense has also developed the VizioCount solution, which counts people and/or vehicles in real time, enabling classification and counting. This solution is adaptable for counting pedestrians, crowds, public transport users, road traffic, queues, and more.

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