In the era of artificial intelligence, the way people live and work is being reshaped. In the UK, the police began to use the artificial intelligence of VALCRI to solve the case. By studying past cases, it can sort out all the evidence of illegal scenes in a few seconds when new cases occur, and quickly outline the illegal suspects and illegal details according to the clues the police have, for the police to refer to. At the same time, it will provide new investigative clues and remind the police to pay attention to testimony that has been ignored in the past.
Police AI is widely usedFrom surveillance cameras to drones, many cities have used artificial intelligence in the public safety arena. For example, the AI ​​law enforcement recorder, which has been assembled by the US police, can automatically edit and archive law enforcement information through the algorithm identification and classification functions behind the camera. This functional principle is equivalent to the image recognition in our mobile phone, but it is based on massive database and enhanced machine learning for police information. With this ability, law enforcement officers no longer have to edit and archive the captured materials, saving work time.
There is also a big market - the police car. Not long ago, the US media disclosed that Ford applied for a new auto-driving police car patent. According to relevant information, Ford's new police car not only can automatically drive, but also can find the violation information of other vehicles on the street through the car camera and sensor, and it can also be connected to public cameras and other equipment to form a three-dimensional automatic vehicle law enforcement system. According to the patent information, the police car can issue a ticket without human intervention, and even actively track or even track the suspected vehicle according to the situation. However, Ford is only one of the many players who drive the police car automatically. With the development of the autonomous driving industry, the police car market may become a battleground for the old car manufacturers and new car companies.
The AIs mentioned above are obviously supporting roles in the police film. But the heart of the protagonist is for everyone, and AI is probably no exception. In the drama of urban camera network and public safety, AI is ready to appear as a "super policeman". The AI ​​behind the city camera can simultaneously view the shooting data of countless cameras in the city. The first task is of course to find fugitives from the sea. I remember that when Zhou Kehua was arrested, the police dispatched a large number of police officers to watch the monitoring day and night. Now, with the smart security image recognition system, they can arrest three fugitives who watched Jacky Cheung concerts.
The AI ​​security application behind another camera is to pre-judg the flow of people, so that the police can guide the crowd to evacuate in real time. In a populous country like ours, a stampede accident in crowded population is a serious social safety hazard. Using AI to identify crowds is an effective solution. In many first- and second-tier cities in China today, the AI ​​warning device behind the city camera has begun to work.
Similar to the flow control, traffic flow control is also a main direction of urban safety AI. For example, the camera judges the occurrence of a car accident and alarms at the first time, and even judges drunk driving and fatigue driving through abnormal vehicle trajectory. These have been applied in some Chinese cities.
At present, some police AIs responsible for urban security can not only "see" but also "hear". A startup in Silicon Valley has developed a city police system with the ability to identify gunshots in complex urban sounds through mics with AI capabilities. Once the gunshot is heard, the system automatically alerts the police and pinpoints the location of the shooting.
Of course, in addition to being able to listen, there has been an AI that can think for itself. In 2016, Fujitsu and the Japan University of Electronic Communications announced a cooperation project, the content of which is to automatically plan the police plan and the police deployment plan after monitoring the illegal events through the city camera. The algorithm includes the principle of nearest police force distribution, pre-judgment of suspect escape routes, and the design of closed roads and roadblocks. At present, this system can provide a police deployment plan within five minutes in densely populated and complex terrain in Tokyo.
Now the AI ​​policeman hiding behind the camera has begun to work in the world, watching the city's every move. If you think this is not enough, then predict the illegal understanding?
On September 12, 2017, the British "Daily Mail" reported that according to the latest research report, artificial intelligence will be further developed to help the police prevent illegal activities. By 2030, people will be highly dependent on "predictive supervision." The report pointed out that machine learning can enable computers to learn independently. This technology has been applied to practice and has an important impact on combating illegal activities. The researchers said: "The law enforcement agencies are increasingly interested in detecting social media disruptive events and by monitoring the large-scale crowds for security analysis." At the same time, machine learning can greatly improve the ability of artificial intelligence to predict illegal events, including the time, place and characters of the violation.
In addition to predicting violations, AI also began to force in police trials. Hitachi and MIT have teamed up to launch an AI camera solution that accurately identifies the heartbeat, pulse, and other data of the person being photographed. This technology is mainly used to cooperate with the trial. The main application scenario is to monitor the suspect's physical condition and face changes during the trial, and to conclude that the suspect may lie or mentally nervous. In fact, it is equivalent to an AI lie detector. The value of this technology is that it does not collect too much suspect information, but integrates the ability of an interrogator to observe the AI ​​to assist in the trial. Of course, this type of technology is just beginning to appear.
AI is a double-edged swordAlthough AI Detectives can help the police to solve the case faster and easier, it is not perfect. Georgia Institute of Technology's Mark? Mark Riedl believes that "AI detectives can help the police, but it will also bring new errors." The police can easily think that the system has identified all relevant features, but the system will still miss some. VALCRI tries to counteract this by making the whole process transparent, that is, it never hides the result, and each judgment can be traced back. Michael of the University of Utah? Yang (Michael Young) believes that this may lead to more and more case details being submitted to the jury. These details will be presented to the defence and the prosecution in a digital format, and both parties can use the information in court to make the debates more transparent.
However, this is not the biggest problem facing police AI. The biggest problem for police AI is discrimination and privacy.
In the face of moral dilemmas, technology can seem to be helpless. For example, the AI ​​that was mentioned earlier predicts key patrol areas. This incident has not yet begun in Japan, and there have been media concerns that it is likely to increase the police's patrol intensity in certain specific areas, thus causing dissatisfaction among residents and shops in the area. In the United States, this dissatisfaction has long been manifested. In 2016, the American Civil Liberties Union issued a statement in conjunction with more than a dozen human rights organizations, arguing that the police used AI as a patrol, and even the tools for interrogation and arrest were not appropriate. Behind it is a serious prejudice against the police system for certain communities and even certain ethnic residents.
The debate about privacy is even more serious. The city camera pursuit is already a relatively "gentle" technology, but there are still many voices criticizing these technologies that can recognize everyone on the street. It is actually a violation of the privacy of residents. . “Not recognized†is also one of the privacy rights, not to mention how the data can be applied to residents. When the identification tools in the police are getting stronger and stronger, the space for illegal elements will certainly become smaller and smaller, but the sense of privacy that ordinary residents feel will also rise. Today, with the explosive development of AI recognition capabilities, this may be a contradiction that cannot be satisfactorily explained.
In the field of police AI technology, emphasizing public safety or emphasizing residents' privacy, giving priority to the appropriateness of technology or application efficiency, is in an endless game.
Conclusion: In any case, the police AI has begun to approach reality, and all the way along with it is about privacy, discrimination and unreliable controversy. With the further development of robot technology, it is very likely that there will be robotic policemen in the future. Robotic police officers equipped with artificial intelligence and weapons will be tireless and unselfish. I believe that illegality will be a very difficult task in the future.
High Speed Edge Sealing Machine
High Speed Edge Sealing Machine,Woven Bag Small Sealing Machine,Household Woven Bag Sealing Machine,Fully Automatic Woven Bag Sealing Machine
Dongguan Yuantong Technology Co., Ltd. , https://www.ytbagmachine.com