Artificial Intelligence for text, image and video recognition

Artificial Intelligence for text, image and video recognition

The integration of artificial intelligence for text, image and video recognition has a wide range of professional applications. At MIA, our teams have advanced expertise in the integration of deep learning solutions dedicated to vision. This technical mastery of artificial intelligence technologies is a major asset that we are ready to mobilize to contribute to the success of your project.

‍

What is Text, Image or Video Recognition?

Artificial intelligence is used in the industrial field for recognition to analyze and interpret visual and textual data. This includes :

• Text recognition (OCR): AI enables the automatic reading and interpretation of text from images or documents, facilitating automated data management, document digitization and workflow automation.
• Image recognition: This is used to inspect and identify defects on manufactured parts, to control quality, and even to recognize specific patterns or configurations in production processes.
• Character recognition on video: In the industrial context, AI is used to analyze video streams in real time, identifying specific objects, behaviors or events, for example for security surveillance or manufacturing process control.

These applications of artificial intelligence in image, text and video recognition improve the accuracy, efficiency and speed of industrial processes, while reducing human error and enhancing product quality.

Examples of artificial intelligence applications in image recognition :

Image recognition offers a multitude of essential services within a company. Here are some concrete examples of this technology:

1. Text recognition (OCR): AI is used to automatically and accurately extract information from documents, invoices or labels in manufacturing processes, facilitating data management and workflows.
2. Automated visual inspection: AI systems analyze images to detect defects or irregularities on manufactured parts, ensuring product quality by quickly identifying anomalies.
3. Video surveillance for security: AI is used in surveillance cameras to detect abnormal behavior, intrusions or potential risks, thus enhancing the safety of industrial facilities.
4. Object recognition in video streams: AI systems analyze video streams to detect and track specific objects on production lines, improving process control and management.
5. Image analysis for logistics: AI is used to automatically recognize and identify products, labels or packaging, facilitating inventory tracking and warehouse organization in the supply chain.

The applications of artificial intelligence are vast and diverse, and it's now a question of using them wisely to make the most of them.

‍