Face recognition door locks are smart door locks that use human facial features as unlocking credentials. They have the advantages of high security, convenience, and intelligence, and are the new favorites of the smart home era. With the continuous progress of face recognition technology, face recognition door locks are also constantly innovating. Currently, there are mainly two types of face recognition door locks on the market: 3D face contour recognition door locks and general face contour recognition door locks. So, what are the differences between them?
Three technical solutions for 3D face contour recognition:
3D face contour recognition door locks are those that use 3D vision technology, through infrared light or laser light sources, to project light with a certain structural feature onto the face of the person being photographed, and then collect it by a special infrared camera or laser sensor. The principle of triangle similarity is used to calculate the depth information of each point on the image, and finally obtain the three-dimensional data of the face recognition door lock. The advantage of 3D face contour recognition door locks is that they can obtain the three-dimensional structure information of the face, thereby improving the accuracy and security of recognition, and effectively preventing fake attacks such as photos, videos, masks, etc. At present, there are mainly three technical solutions for 3D face contour recognition door locks: 3D structured light, TOF, and binocular stereo vision .
Introduction of 3D structured light, TOF and Binocular stereo camera:
3D structured light
3D structured light is a method that uses an infrared light projector to project light with a certain structural feature onto the object to be photographed, and then collects it by a special infrared camera. It mainly uses the principle of triangle similarity to calculate the depth information of each point on the image, and finally obtains the three-dimensional data. 3D structured light-based face recognition has been actually applied in some smartphones, such as FaceId, which uses more than 1 billion images (IR and depth images) for training, and domestic self-developed smartphone manufacturers’ face recognition.
TOF
TOF is simply laser ranging, which uses square wave pulse modulation as the irradiation light source, and measures the distance based on the time difference between the pulse emission and reception. The method of obtaining 3D data using TOF is mainly realized on Kinect, which was launched in 2009, with the purpose of being an interactive device with the machine and used in games. It mainly obtains and processes the posture data of the human body.
Binocular stereo vision
Binocular stereo vision is a method based on the principle of parallax and obtaining the three-dimensional geometric information of the object from multiple images. The two cameras simultaneously obtain the two digital images of the measured object from different angles, and based on the principle of parallax, restore the three-dimensional geometric information of the object, thereby obtaining the depth information of each point on the image and finally obtaining the three-dimensional data. Due to the high requirements of the binocular stereo vision imaging principle on the hardware, especially the focal length of the camera and the plane position of the two cameras, the application range is relatively small compared to 3D structured light TOF.
3D Structure light vs 2D vision technology:
General face contour recognition door locks are those that use 2D vision technology, through ordinary RGB cameras, to capture the two-dimensional image of the face, extract the corresponding features from the image, and compare them with the already entered image library based on the principle of scale-invariant features. The face recognition door lock. The advantage of general face contour recognition door locks is that they have relatively low cost, relatively mature technology, and wide application. However, the disadvantage of general face contour recognition door locks is that they can only obtain the two-dimensional information of the face, and cannot recognize the depth information of the face. Therefore, they are easily affected by factors such as lighting, angle, expression, etc., and are also easily attacked by fake photos, videos, etc .
In summary, the difference between 3D face contour recognition door locks and general face contour recognition door locks lies in whether they can obtain the depth information of the face, which affects the accuracy and security of recognition. Compared with general face contour recognition door locks, 3D face contour recognition door locks have higher technical level and stronger anti-counterfeiting ability, and are the development trend and direction of face recognition door locks .
If you enjoyed this article and would like to learn more information about smart home solution development, follow Facebook page, Instagram, and YouTube channel for more updated info.
Now we have smart doors locks with 3D structure face recognition unlock function, also we have fingeprint unlock only models at very affordable pricing for you to choose, Contact with us to get quotations and more details.
“This affordable wireless portable CarPlay Console has transformed my driving experience, providing seamless connectivity and a plethora of features that have made my journeys more enjoyable and convenient. I wholeheartedly give this product a five-star rating!”–from client.
Explained: Face recognition door locks types and technologies beneth
Face recognition door locks are smart door locks that use human facial features as unlocking credentials. They have the advantages of high security, convenience, and intelligence, and are the new favorites of the smart home era. With the continuous progress of face recognition technology, face recognition door locks are also constantly innovating. Currently, there are mainly two types of face recognition door locks on the market: 3D face contour recognition door locks and general face contour recognition door locks. So, what are the differences between them?
Three technical solutions for 3D face contour recognition:
3D face contour recognition door locks are those that use 3D vision technology, through infrared light or laser light sources, to project light with a certain structural feature onto the face of the person being photographed, and then collect it by a special infrared camera or laser sensor. The principle of triangle similarity is used to calculate the depth information of each point on the image, and finally obtain the three-dimensional data of the face recognition door lock. The advantage of 3D face contour recognition door locks is that they can obtain the three-dimensional structure information of the face, thereby improving the accuracy and security of recognition, and effectively preventing fake attacks such as photos, videos, masks, etc. At present, there are mainly three technical solutions for 3D face contour recognition door locks: 3D structured light, TOF, and binocular stereo vision .
Introduction of 3D structured light, TOF and Binocular stereo camera:
3D structured light
3D structured light is a method that uses an infrared light projector to project light with a certain structural feature onto the object to be photographed, and then collects it by a special infrared camera. It mainly uses the principle of triangle similarity to calculate the depth information of each point on the image, and finally obtains the three-dimensional data. 3D structured light-based face recognition has been actually applied in some smartphones, such as FaceId, which uses more than 1 billion images (IR and depth images) for training, and domestic self-developed smartphone manufacturers’ face recognition.
TOF
TOF is simply laser ranging, which uses square wave pulse modulation as the irradiation light source, and measures the distance based on the time difference between the pulse emission and reception. The method of obtaining 3D data using TOF is mainly realized on Kinect, which was launched in 2009, with the purpose of being an interactive device with the machine and used in games. It mainly obtains and processes the posture data of the human body.
Binocular stereo vision
Binocular stereo vision is a method based on the principle of parallax and obtaining the three-dimensional geometric information of the object from multiple images. The two cameras simultaneously obtain the two digital images of the measured object from different angles, and based on the principle of parallax, restore the three-dimensional geometric information of the object, thereby obtaining the depth information of each point on the image and finally obtaining the three-dimensional data. Due to the high requirements of the binocular stereo vision imaging principle on the hardware, especially the focal length of the camera and the plane position of the two cameras, the application range is relatively small compared to 3D structured light TOF.
3D Structure light vs 2D vision technology:
General face contour recognition door locks are those that use 2D vision technology, through ordinary RGB cameras, to capture the two-dimensional image of the face, extract the corresponding features from the image, and compare them with the already entered image library based on the principle of scale-invariant features. The face recognition door lock. The advantage of general face contour recognition door locks is that they have relatively low cost, relatively mature technology, and wide application. However, the disadvantage of general face contour recognition door locks is that they can only obtain the two-dimensional information of the face, and cannot recognize the depth information of the face. Therefore, they are easily affected by factors such as lighting, angle, expression, etc., and are also easily attacked by fake photos, videos, etc .
In summary, the difference between 3D face contour recognition door locks and general face contour recognition door locks lies in whether they can obtain the depth information of the face, which affects the accuracy and security of recognition. Compared with general face contour recognition door locks, 3D face contour recognition door locks have higher technical level and stronger anti-counterfeiting ability, and are the development trend and direction of face recognition door locks .
If you enjoyed this article and would like to learn more information about smart home solution development, follow Facebook page, Instagram, and YouTube channel for more updated info.
Now we have smart doors locks with 3D structure face recognition unlock function, also we have fingeprint unlock only models at very affordable pricing for you to choose, Contact with us to get quotations and more details.
Smart Lock α7 Fingerprint
GH₵5,299.00Original price was: GH₵5,299.00.GH₵3,699.00Current price is: GH₵3,699.00.Smart Lock X7 Fingerprint
GH₵5,299.00Original price was: GH₵5,299.00.GH₵3,999.00Current price is: GH₵3,999.00.Smart Lock S7 Fingerprint
GH₵2,770.00Original price was: GH₵2,770.00.GH₵2,490.00Current price is: GH₵2,490.00.Table of Contents
Related Posts
5 Benefits of Having Motion Sensor Lights
They are a great solution for saving energy, enhancing security, improving convenience, and reducing costs.
How a portable wireless CarPlay console improve driving experience
“This affordable wireless portable CarPlay Console has transformed my driving experience, providing seamless connectivity and a plethora of features that have made my journeys more enjoyable and convenient. I wholeheartedly give this product a five-star rating!”–from client.