news

huolala ai safety control system solution.

how to make drivers earn money safely and let users feel at ease using vehicles is a common pain point faced by the current intra-city freight industry. in zhang yu's view, the risk control of contraband is like "a judge's judgment", which is mainly divided into three key links: obtaining evidence, hearing the case, and announcing the results. there are three major difficulties in the control of contraband.

"the first is to obtain evidence. the platform needs to quickly, comprehensively and accurately obtain data from multiple parties such as drivers, users, goods and routes. the second is order analysis. how to accurately determine whether the order is in violation of regulations in recordings with high noise and heavy driver accents, and obtain the desired information. the third is proper handling. faced with different order statuses, how the platform guides users and drivers to cancel so that they can better understand and accept it is also a very important difficulty." zhang yu said.

for companies that want to deepen their presence in the intra-city freight sector, this is both an opportunity and a challenge. to gain a foothold here, they must have technical advantages and rich experience accumulation.

as a leading enterprise in the field of intra-city freight logistics for many years, huolala has accumulated a large amount of data on vehicle models, transportation routes, and cargo categories, and has a unique data advantage. with the help of information equipment and artificial intelligence technologies such as image algorithms, voice algorithms, and natural language processing algorithms, huolala has built an ai safety control system to achieve real-time monitoring and data analysis of the operating status of freight vehicles, which can detect and respond to emergencies in a timely manner, realize the full automation of "judges' judgments", and reduce the incidence of safety accidents.

on april 6, truck driver master bian received an order in datong city, shanxi province, requiring him to deliver 1 ton of gasoline. the huolala platform combined data sources such as loading diagrams, private number call recordings, and on-board iot (internet of things) cargo compartment diagrams to determine that the goods being delivered were dangerous goods and contraband, and promptly sent a pop-up reminder to master bian, guiding him to cancel the order. under the guidance of the platform, master bian finally canceled the order.

regarding the control of dangerous goods, huolala's ai safety control system has enabled the control of freight safety to move from after the event to before and during the event, from passive to active, and from reducing the impact to preventing it.

huolala has built an ai safety and control system to achieve real-time monitoring and data analysis of the operating status of freight vehicles.

"prohibited items will go through four monitoring checkpoints on the huolala platform." zhang yu said that when the cargo owner places an order, the platform will automatically analyze the cargo information on the order, and automatically block the order if there are prohibited items; if the cargo owner deliberately fills in wrong information, huolala will also monitor and analyze the conversation between the order-taking driver and the cargo owner in real time. if any abnormality is found, a pop-up notification will be sent to the truck driver, suggesting that he cancel the order.

during the delivery phase, huolala will require drivers to take photos of the goods and upload at least one loading diagram before offline transportation, and the system will analyze the photos in real time. if the driver does not upload the correct item information when taking photos, huolala will also use the on-board iot devices installed on the vehicle to record and record the compartment conditions in real time, and conduct relevant inspections and processing of the cargo information, while protecting privacy.

afterwards, for cases where the system has popped up a window but the truck driver insisted on accepting the order, the huolala system backend will conduct manual analysis. if the suspicion of loading prohibited items is true, huolala will immediately hold the truck driver accountable and conduct corresponding control education.

to dispel the platform drivers' concerns about data security, huolala has established a complete security and privacy management system. "we will encrypt sensitive data and have a strict approval process. huolala has set up a 'safe house' to ensure that sensitive information is used in a safe manner through physical isolation, entry and exit security checks, and no-blind-angle monitoring. in terms of information security management and personal privacy management, we have reached the international leading level." zhang yu introduced.

on the basis of all-round online testing, huolala has also increased its training for truck drivers. on june 25, huolala innovated the form of safety education and jointly conducted a traffic safety lecture in the live broadcast room with the shenzhen traffic police of guangdong. in the live broadcast, the shenzhen traffic police and huolala staff taught the drivers traffic safety knowledge in outdoor scenes, including vehicle inspection, safe driving, prevention of traffic accidents at intersections, prevention of vehicle blind spots, prohibited and restricted transportation items, safe loading and unloading of goods, and response to traffic accidents or vehicle failures. according to statistics from huolala, its "safe production month" themed education activities covered more than one million drivers.

"we use methods such as privacy number recording and in-vehicle iot devices to ensure that data can be acquired by the system efficiently and accurately. we then use artificial intelligence algorithms to deeply analyze recordings, pictures and other data to better obtain prohibited information. as for the drivers' prohibited behaviors, we will also properly handle them through voice exemption reminders, pop-up windows on the driver's side to force cancellation, and deducting behavior points." zhang yu introduced that huolala has established a full-link management and control process for prohibited orders from identification - recall - reminder - intervention - penalty - appeal, and realized real-time monitoring of massive orders on the platform. the recognition of prohibited pictures can be as fast as 100 milliseconds.

when talking about the next step, zhang yu said that huolala will continue to improve the safety level of cargo transportation from both technical and business aspects. in terms of technology, huolala will continue to iterate and optimize the existing algorithm technology, and for orders that the system is 100% determined to be prohibited, the system will forcibly cancel the prohibited orders.

the backend interface of huolala’s ai safety control system.

at the business level, lalamove will continue to expand the application scope and scenarios of the ai ​​prevention and control system. "in the next step, we will promote the ai ​​prevention and control system in more and more cities, and promote the ai ​​prevention and control system to the fields of driving safety and driver and passenger safety, to ensure the safety of cargo transportation in all aspects," said zhang yu.

currently, huolala is working with the wuhan police in hubei to explore a linkage mechanism for the prevention and control of contraband. if the ai ​​prevention and control system detects major contraband with serious consequences, huolala will notify the police immediately.

zhang yu, who has been in charge of developing the ai ​​prevention and control system since 2021, believes that huolala has more experience in cargo transportation safety than other companies in the same industry. "because it developed relatively early and has a large scale and volume, huolala has accumulated rich experience in driving safety, solving driver and passenger safety problems, and processing massive data. these experiences are not only applicable to the field of freight logistics, but can also be expanded to other industries that require safety prevention and control, such as urban buses and taxis, and have broad application prospects. in the future, we will also promote relevant experience to the entire transportation industry and inject new momentum into urban traffic management." zhang yu said.