According to a report by the British media recently, an advanced face recognition system developed by scientists can help victims and eyewitnesses accurately piece together images of criminals, with an accuracy rate of nearly 50%.
This advanced face recognition system, known as EvoFIT, was developed by two scholars Peter Hancock and Charlie Froud of the University of Central Lancashire in the United Kingdom.
Compared with the traditional face recognition system, EvoFIT system has a very obvious advantage. The traditional method of face recognition requires victims or eyewitnesses to recall and identify the five facial features and appearance features of the suspects one by one, such as nose, eyes, and hairstyle. Finally, the scattered facial features are pieced together.
EvoFIT is more scientific and meticulous, emphasizing the general outline of the suspects, and fine-tuning and improving them. The victim or eyewitness first selects the overall characteristics of the face, skin, skin tone, etc., and then replaces and adjusts the facial features such as the eyes, nose, ears, and mouth. Finally, it adds hair color, hairstyle, ear, and other appearance features to put together a more An image that approximates the appearance of a real criminal. The whole restoration process is more like a process of "evolution" of human faces.
The inventor Charlie Froud said: “Traditional face recognition systems must be able to piece together a face by recognizing hundreds of pictures, and because the final imaging is made up of scattered features, The accuracy rate was less than 10%, and we found during the experiment that the appearance of criminals in the memory of victims or witnesses was actually stored as a whole in memory, and the EvoFIT system was able to continuously adjust these characteristics during the recognition process. Reducing the scope of the goal, correcting the wrong information, and gradually awakening the victim's memory, the success rate is naturally higher."
In 2008, the British Lancashire Police Department first started using the EvoFIT system, and successfully detected many major cases using excellent imaging effects. At present, the system has been used by 11 district police stations, including the London Police, for the detection of everyday cases with high accuracy. It has also been adopted by police in Europe, the United States and Israel.
This advanced face recognition system, known as EvoFIT, was developed by two scholars Peter Hancock and Charlie Froud of the University of Central Lancashire in the United Kingdom.
Compared with the traditional face recognition system, EvoFIT system has a very obvious advantage. The traditional method of face recognition requires victims or eyewitnesses to recall and identify the five facial features and appearance features of the suspects one by one, such as nose, eyes, and hairstyle. Finally, the scattered facial features are pieced together.
EvoFIT is more scientific and meticulous, emphasizing the general outline of the suspects, and fine-tuning and improving them. The victim or eyewitness first selects the overall characteristics of the face, skin, skin tone, etc., and then replaces and adjusts the facial features such as the eyes, nose, ears, and mouth. Finally, it adds hair color, hairstyle, ear, and other appearance features to put together a more An image that approximates the appearance of a real criminal. The whole restoration process is more like a process of "evolution" of human faces.
The inventor Charlie Froud said: “Traditional face recognition systems must be able to piece together a face by recognizing hundreds of pictures, and because the final imaging is made up of scattered features, The accuracy rate was less than 10%, and we found during the experiment that the appearance of criminals in the memory of victims or witnesses was actually stored as a whole in memory, and the EvoFIT system was able to continuously adjust these characteristics during the recognition process. Reducing the scope of the goal, correcting the wrong information, and gradually awakening the victim's memory, the success rate is naturally higher."
In 2008, the British Lancashire Police Department first started using the EvoFIT system, and successfully detected many major cases using excellent imaging effects. At present, the system has been used by 11 district police stations, including the London Police, for the detection of everyday cases with high accuracy. It has also been adopted by police in Europe, the United States and Israel.
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