AI-based video analytics is increasingly discussed in the video surveillance industry. But in a broader context, AI will become the subject of precise solution creation in the near future. This implementation is increasingly starting to concern video editing softwares, which is why companies must choose the best way to optimize this use of AI and get the most out of it. Here are some examples of machine learning and deep learning algorithms and how they can be developed and applied to your video analytics project.
Eden AI offers access to a wide range of AI technologies from the best providers through a unique API, including Video Content Analysis features. It is a must-have platform if you’re using different AI APIs and you’re craving a powerful tool to reduce your costs, save time and work with efficiency.
Video Analysis technologies are part of Computer Vision, a branch of artificial intelligence that deals with how computers can gain high-level understanding from videos. You can use Video Analysis features in numerous fields, here are some examples of common use cases:
Eden AI allows to improve your data by using our API to automatically detect, analyze and interpret your videos thanks to the aggregation of multiple object labeling and tracking AI engines.
Here are some examples of Video Analysis AI models you can use:
Video Label Detection API (also called Object Detection) can identify and label entities displayed in videos: objects, locations, activities, animal species, products, etc. If you’re interested specifically in Object Detection APIs, have a look at our guide to easily integrate an Object Detection engine into your project. We also recommend reading our Top 9 Object Detection APIs so you can choose the right engine according to your data.
Text detection in videos performs Optical Character Recognition (OCR). This operation detects and extracts text from a video in all languages. For more information on the features, we recommend reading our Top 10 Optical Character Recognition article.
Person Tracking can detect the presence of people and track those individuals in a video or video segment.
Face Detection technology searches for faces in videos to return segments where the faces appear along with boxes defining the area in which the face is detected. For more information, you can check out our article on the different Face Detection engines you can find on the market, and what Face Detection API to choose.
An Explicit Content Detection API allows you to detect Not Suitable For Work (NSFW) media content: violence, nudity/pornography, political incorrectness, profanity, slurs, and so forth. The value is further compared with a defined threshold to decide whether the content is explicit or not. These engines not only differentiate between explicit/non-explicit content but also indicate the degree of explicitness in any media content.
Here is the type of results an Explicit Content Detection API can analyze: a score of 80% explicit nudity at 2,324652 seconds. If you’re interested in Explicit Content AIs, you might also want to check out our Top 10 Explicit Content engines for images.
Just like Logo Detection API for images, Logo Detection technology can detect popular logos in a video, which can be useful to blur a logo, detect counterfeit platforms, moderate visual content, and much more.
Video Object Tracking API is a computer vision technique that works to identify and track Visual Objects (VOT) or Multiple Objects (MOT) within a video. Specifically, object detection draws bounding boxes around these detected objects, which allow you to locate where objects are in a given scene:
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate NLP tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies:
We want our users to have access to multiple Video Content Analysis engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple Video Content Analysis APIs:
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.
You can see Eden AI documentation here.
The Eden AI team can help you with your machine translation integration project. This can be done by :
In this article, we explain how the mapping between the input language and the languages supported by the providers is performed to facilitate access to one of our AI engines.