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Pysource's video: Automatatically delimit areas with Computer Vision and AI

@Automatatically delimit areas with Computer Vision and AI
Today I'm going to show you how it's possible to delimit specific areas automatically by using Computer Vision and AI. This solution intends to automate procedures that are normally done manually and it could help you with: - identify autonomously any area delimited by traffic cones - calculate the surface area in real time (with just a drone flying over the area) - send a real time alert if a person or any object is identified inside this area - count specific elements inside the delimited area and much more ... The project I built, was created to identify traffic cones placed on an agricultural field and delimit the areas using them as vertices. This was done with a drone and traffic cones but it could work for any type of industry (whether it's manufacturing, security, farming, traffic, and so on), and with any type of already existing cameras like for example CCTV cameras. ➤ Courses: Full Computer Vision course: https://pysource.com/object-detection-opencv-deep-learning-video-course/ Training Mask R-CNN PRO (Notebook + Mini-Course): https://pysource.com/mask-rcnn-training-pro/ Blueprint: https://pysource.com/blueprint ➤ Follow me on: LinkedIn: https://www.linkedin.com/company/pysource ➤ For business inquiries: https://pysource.com/contact

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This video was published on 2023-01-24 17:00:13 GMT by @Pysource on Youtube. Pysource has total 59.8K subscribers on Youtube and has a total of 185 video.This video has received 119 Likes which are lower than the average likes that Pysource gets . @Pysource receives an average views of 13.3K per video on Youtube.This video has received 5 comments which are lower than the average comments that Pysource gets . Overall the views for this video was lower than the average for the profile.Pysource #computervision #agricolture #drone has been used frequently in this Post.

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