With Partium, employees (service technicians, customer service) and your customers can easily identify industrial spare parts on their smartphone within seconds. Once they have identified the requested part correctly, further actions can be taken directly on-site, such as viewing the bill of materials, documentation, notes, stock levels, adding articles to the requirement list… Partium is available as a stand-alone solution (iOS, Android) or can be integrated into existing systems via SDK.
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Based on our record, YOLO seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 5 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: over 1 year ago
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: over 1 year ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: almost 2 years ago
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: about 2 years ago
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