The widespread adoption of AI has caused significant transformations across industries.
The market size is also on an upward slope, currently sitting at 184 billion dollars, which is a 50 billion dollar increase compared to 2023 stats.
There are two sides to everything, though, and as helpful and innovative as AI tools are, they can also be dangerous and disastrous if they fall into the wrong hands.
Organizations or people with malicious intent can manipulate data, videos, content, or anything of interest to suit their agenda.
This is not just misleading, rather, it is catastrophic as it may lead to fraud, chaos, and social unrest.
According to Contentdetector.ai, there were 14,678 deep fake videos online in 2019.
This number has witnessed an exponential increase to 95,820 in 2023.
This is alarming and emphasizes the need for AI detector tools for identifying generated or manipulated videos.
As AI tools become more advanced, identifying content created by them has become more difficult and tasking. And it’ll not get any easier as these systems keep improving.
Hence, this article discusses 4 AI video detector tools in 2024 and how they work.
1. DeepBrain AI
This AI tool is equipped with advanced deep fake video and voice detection technology which quickly helps you identify AI-generated content and ensures you only interact with trusted content.
It analyzes Images and videos on a pixel-by-pixel basis while audio is detected by extensive considerations of factors like time, frequency, and noise.
Once it finds a video to be deepfake, it immediately flags it as fake. This only takes 5 to 10 minutes.
Once the detection is completed, it also provides technical information used in the crime, such as modulation rate and synthesis type.
DeepBrain AI model’s detection rate was increased by training from 5.2 million data.
Key Features;
- Detects video and audio within 5 to 10 minutes.
- Create AI Avatars.
- Voice translation.
- AI voices in 80 languages
Pricing;
- It starts from $24/month to as high as $216 for teams. Check the price page
on their website to understand better.
2. Intel’s FakeCatcher
This is a well-formulated AI tool developed by Intel.
The tool is known to have a 96% accuracy rate with results coming out in milliseconds.
Operating on a server and interfacing through a web-based platform, Intel’s hardware and software were used in its development.
This AI video detector tool looks for authentic hints in real videos, evaluating what makes us human, and subtle “blood flow” in the pixels of a video.
Veins change color whenever our heart pumps blood. It therefore gathers these blood flow signals from all over the face and the algorithms convert them to spatiotemporal maps.
It then uses deep learning to instantly determine the authenticity of a video.
FakeCatcher is highly recommended for various entities that deal with large volumes of video content.
Entities like social media platforms, government agencies, and news agencies would benefit from the ability to identify deep fakes, thereby stopping them from uploading harmful or misleading content.
Key Features;
- 96% accuracy.
- Returns result in milliseconds.
- Uses blood flow in the pixel of a video to determine its authenticity.
3. DeepDetector
This advanced deepfake detector system was developed by a Dutch company named DuckDuckGoose.
DeepDetector analyzes and detects deepfakes within 1 second with a 95% accuracy.
It works by extracting visible faces first and then analyzing extracted faces. It finishes the process by detecting and explaining what makes a video fake.
Main Features;
- Processes large volumes of data quickly and accurately.
- Its API integration allows customization to suit the client’s existing identity verification system.
- Explains why a video is flagged as fake.
- Easy to use interface.
4. Microsoft Video Authenticator
This AI video detector tool was developed by Microsoft in response to the widespread of fake and manipulated content in the news during the US 2020 general election.
This AI tool analyzes still photos and videos to produce an error-free manipulation result.
It operates by detecting the blending boundary of the deep fake and subtle fading of greyscale elements that are not detectable by the human eye.
A public dataset from Face Forensic++ was used in its development, while it
was tested on the DeepFake Detection Challenge Dataset.
Both are leading models for training and testing deepfake detection technologies.
Choosing The Right DeepFake Detector Tool.
Below are factors to consider before choosing an AI deepfake detector tool:
- Accuracy – How accurate and reliable is the tool in detecting deepfakes?
- Navigation – How easy is the interface and implementation?
- Delivery – Is the delivery rate fast enough?
- Cost – Are you looking for a free or paid deepfake detector?
Conclusion
Knowing that you are prone to be misled easily is something not to joke with. Rather, be aware of ways to safeguard yourself.
Deepfakes are used mostly to suit the narratives of their originators. They are mostly from political rivals, followed by fraudsters. Social media is filled with them and you come across them daily.
Suppose you don’t know ways to detect generated and manipulated content or have access to the best AI video detector tools. In that case, you can easily become a political propaganda or fraud victim.
Featured Image by rawpixel.com on Freepik
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