Tony Orsi, Lawrence Yu and Kimberly Ren of Bereskin & Parr discuss recent developments in the use of image recognition technologies for the field of intellectual property.
Recent advances in computer vision algorithms, artificial intelligence (AI), and computing power have enabled significant growth in the field of image recognition. In comparison to early edge detection and segmentation techniques, modern image recognition is significantly faster, more accurate, and generally more powerful. In many cases, AI-based technologies can now analyze and process images at a level equal to, or even greater than, human visual systems. In fact, the recent Canadian Intellectual Property Office (CIPO) report on AI shows that AI patent activity for computer vision based inventions has been the fastest growing segment compared to other AI applications for the last 20 years.1
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