With the rapid coverage of e-bike all over the world, some illegal behaviors has appeared, such as the riders ride the e-bike in a direction not allowed by traffic regulations/run a red light……Many countries adopt strict measures to punish the illegal behaviors.
(Image is from the Internet)
In Singapore,if the pedestrians run red lights, in the first time, they will be fined SGD 200(It is equivalent to about RMB 1000).If they run the red light again or more times,the most serious can be sentenced to six months to one year in prison.States in the United States will impose fines ranging from $2 to $50 on pedestrians who cross the road indiscriminately. Although the amount of the fine is relatively small, the penalty record will be recorded in their personal credit records, which cannot be deleted for life.
(Image is from the Internet)
In Germany, no one dares to run a red light. This is because the person who runs a red light will face serious consequences. For example, while others can pay in installments or defer payment, red light runners have to pay immediately. Other people can get a longer-term loan from the bank, but red light runners cannot. And the interest rate that banks offer to red light runners is much higher than others. The Germans believe that red light runners are people who do not value their lives and are dangerous, and their lives are not safe at any time.
(Image is from the Internet)
In general, the traditional electronic eye (electronic police) is mainly to monitor cars, the monitor of e-bikes is often inadequate. The main reason is that most e-bikes are not licensed, the regulatory system can not determine the identity of the rider, exclusion is very difficult.How to monitor the violations of every e-bike rider has become a problem for the city management department.
(Image is from the Internet)
TBIT has provided workable and effective solutions to ameliorate these phenomena. The AI cameras can effectively identify the violations, such as riders riding in the wrong direction, riding in non-motorized lanes and run red lights. In addition, it can also can play the broadcast to remind the corresponding rider,then take photos and upload them to the supervision platform.
Compared with the traditional electronic eye (electronic police) ,the AI cameras of TBIT are able to take photos and upload them to the supervision platform in real time.Matched with the APP,It can be more easily traced back to the owner of the offending e-bike, with higher warning, and can assist the government to better manage e-bikes, which can be used for the management of sharing e-bikes, take-away, express delivery and other fields.
(Image is from the Internet)
1st Warning: When the riders run red lights,the broadcast will be played to alert the rider that he is driving with violations,so that to reduce the risk of accidents.
2nd Warning:When the riders rides the e-bike in non-motorized lanes,the AI cameras will take photos and upload them to the supervision platform, which it’s with stronger warning.
Highlights of AI cameras
Monitor and identify :AI cameras can monitor and identify e-bike users who run red lights, or drive in non-motorized lanes and other illegal behaviors.
High performance :AI camera adopts high performance AI vision processing chip and neural network acceleration algorithm to identify various scenes. The recognition accuracy is very high and the recognition speed is very fast.
Patent algorithm :AI camera supports a variety of scene recognition algorithm, run red light, ride in non-motorized lane, overload, wearing helmet , parking the e-bike in fixed area and so on.
(Product diagram about CA-101)
More highlights:
Original solution integrated e-bike basket and camera, can meet the rapid adaptation of different types of e-bikes.
Support OTA upgrade, can continuously optimize product functions.
The AI camera recognition takes into account three scenarios, parking the e-bike in fixed area/run red lights/ride in non-motorized lane
(1st Identifying scenarios of AI)
(2nd Identifying scenarios of AI)
Post time: Dec-15-2022
