Face detection tools

Neural networks, such as GANs, are among the most recent and most powerful methods for detection problems, including face detection, emotion detection, and face recognition.

In video images, you can use movement as a guide. One specific face movement is blinking, so if the software can determine a regular blinking pattern, it determines the face. Various other motions indicate that the image may contain a face, such as flared nostrils, raised eyebrows, wrinkled foreheads, and opened mouths.

When a face is detected and a particular face model matches with a specific movement, the model is laid over the face, enabling face tracking to pick up further face movements. The state-of-the-art solutions usually combine several methods, extracting features, for example, to be used in machine learning or deep learning algorithms. There are dozens of face detection solutions, both proprietary and open-source, that offer various features, from simple face detection to emotion detection and face recognition.

Amazon Rekognition is based on deep learning and is fully integrated into the Amazon Web Service ecosystem. Meanwhile, you can determine up to faces in a single image with this tool. There is an option for video , and the pricing is different for different kinds of usage.

You can perform an unlimited amount of requests, but just three per second. They primarily operate in China, are exceptionally well funded, and are known for their inclusion in Lenovo products. However, bear in mind that its parent company, Megvii has been sanctioned by the US government in late Face Recognition and Face Detection API Lambda Labs provides face recognition, facial detection, eye position, nose position, mouth position, and gender classification.

It offers free requests per month. Kairos offers a variety of image recognition solutions. Their API endpoints include identifying gender, age, facial recognition, and emotional depth in photo and video. Net, and Python. Features include age estimation, gender and emotion recognition, landmark detection.

Net, andNode. Paravision is a face recognition company for enterprises providing self-hosted solutions. Face and activity recognition and COVID solutions face recognition with masks, integration with thermal detection, etc. Trueface is also serving enterprises, providing features like gender recognition, age estimation, and landmark detection as a self-hosted solution.

Deepface is a framework for Python with 1,5k stars on GitHub, providing facial attribute analysis like age, gender, race, and emotion. FaceNet developed by Google uses Python library for implementation. The repository boasts of 11,8k starts.

Meanwhile, the last significant updates were in InsightFace is another Python library with 9,2k stars in GitHub, and the repository is actively updating. They claim to provide a variety of algorithms for face detection, recognition, and alignment. It offers many options for developers, including Eigenfacerecognizer, LBPHFacerecognizer, or lpbhfacerecognition face recognition modules.

OpenFace is a Python and Torch implementation of face recognition with deep neural networks. Face detection is the first step for further face analysis, including recognition, emotion detection, or face generation. However, it is crucial to all other actions to collect all the necessary data for further processing. Robust face detection is a prerequisite for sophisticated recognition, tracking, and analytics tools and the cornerstone of computer vision. Originally posted on SciForce blog. We are in the process of writing and adding new material compact eBooks exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning.

Learn More. Welcome to the newly launched Education Spotlight page! View Listings. Tags: AI Sight. Related Content. JohnWilliams September 3, at am. MonjimaNandi June 30, at am. MrinaliniSundar June 18, at am. At first, I was a little confused as this face detection software did not give any option to define an output folder to save photos. After testing, I figured out the default output destination. Picasa is one of the most popular image viewer with face detection.

The face detection tool can be accessed in the People tab of Picasa. When you visit this tab, Picasa will start to detect human faces in photos from all the folders of your computer. This process may take a little while. Once done, Picasa displays all the photos with detected faces as Unnamed People. All the faces that you see are not cut out as separate images. You can tag the detected faces with a name. When you search for a tag, Picasa displays all the photos with similar faces.

Picasa lets you edit the detected photos right from the Face Detection Tab. You can also export all the faces to a different folders. Once you have created a face tag on Picasa, its face detection tool will remember the face and whenever you add a new photo with same facial features, it will automatically add the photo to the respective tag. Picasa is a discontinued product, but is still available for download from various software hosting websites.

Fotobounce is a popular image organizer that supports face detection in images. It features an interactive interface and works the same way as Picasa.

It does not detects all the images from you PC, but you have to select a folder with photos on which you want to use the face detection. Adding a folder displays all the photos from the selected folder. Use the Unidentified Faces tool to begin image face detection. Similar looking faces are organized separately as Unknown. Tag a face, and all the photos with similar face profile are added to that tag. Although this free face detection software works similar to Picasa, but took less time to detect the faces while testing.

Windows Photo Gallery is a photo viewer and manager with face detection feature. It not only detects faces but also recognizes similar faces from a photo album. You can also tag a face with a name, and search for the pictures with similar face from various folders of your computer. For facial detection, the default folder is set as the Pictures folder of your PC, but you can also include photos from other folders in your PC.

Use the Batch People Tag option available at the top of the interface to detect the faces from the selected folders. It looks for the images with faces, and displays the faces in a list of faces detected. Now you can click on a face to view all the images with similar faces. You can tag the detected faces , and this Photo Viewer displays the photos with matching faces when you search for a tag.

You do not have option here to crop or save the similar faces at a single place, and you can only view photos with similar faces using this free face detection software. Windows Photo Gallery comes bundle with Windows Movie Maker and you will have to download both at the same time from the official Microsoft website. Digikam is another photo manager and a facial detection software. The People tool on this software helps you out with face detection in images. Select a folder to scan all the photos in it for faces.

When you begin scanning a folder, a dialogue box will appear where you have to make sure that you have checked Detect Faces option. In case you have not selected a specific folder to scan, Digikam scans all the folders of your computer for photos with faces. The facial detection tool of Digikam detects faces, but along with faces, it also detected random objects and shapes. Happytime Face Detection is a dedicated free face detection software to detect faces in images or videos.