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, and 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. 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 Content Analysis is now available on Eden AI
What is Video Analysis technology?
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:
- Retail: customer behavior tracking and the actual number of people in the store can be counted.
- Healthcare: patient monitoring, mental health analysis, cancer detection
- Automotive Industry: car detection, license plate detection
- Security: X-ray screening, surveillance, etc. to raise alarms
- Fitness: Human Pose Estimation
Video Analysis AI models
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:
Label Detection
Video Label Detection API (also called Object Detection) can identify entities displayed in videos by labeling objects, locations, activities, animal species, products, etc. Each entity and shot is identified and labeled. Entities are then identified and labeled in each shot. 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
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, you should look for when comparing text detection engines, we recommend reading our Top 10 Optical Character Recognition article.
Person Tracking
Person Tracking can detect the presence of people in a video file and track those individuals in a video or video segment.
Face Detection
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.
Explicit Content Detection
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 a Video Analysis API can find when analyzing sensitive content in a video, i.e: a score of 80% explicit nudity at 2,324652 seconds. If you’re interested in Explicit Content AIs, you might want to check out our Top 10 Explicit Content engines for images.
Logo Detection
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.
Object Tracking
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 :
Why choose Eden AI to manage your NLP APIs
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:
- Fallback provider is the ABCs. You need to set up a Video Content Analysis API that is requested if and only if the main Video Content Analysis API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
- Performance optimization. After the testing phase, you will be able to build a mapping of Video Content Analysis vendors’ performance that depends on the criteria that you chose (languages, fields, etc.). Each data that you need to process will then be sent to the best Video Content Analysis API.
- Cost - Performance ratio optimization. You can choose the cheapest Video Content Analysis provider that performs well for your data.
- Combine multiple AI APIs. This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Video Content Analysis APIs will validate and invalidate each other for each piece of data.
How Eden AI can help you?
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.
- Centralized and fully monitored billing on Eden AI for all Video Content Analysis APIs
- Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
- Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
- The best Artificial Intelligence APIs of the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your machine translation integration project. This can be done by :
- Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
- By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
- By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
- Having the possibility to integrate on a third party platform: we can quickly develop connectors
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