Haiyan will be upgraded again, and many cities across the country will soon release Haiyan 3.3.
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In April this year, traffic on the line in Suzhou Keda Swallow, a week does not capture nearly 3,000 from the Department of safety belts, car phone and other illegal acts, causing widespread concern. Subsequently, Keda Haiyan entered trials in many places across the country and went online in Fuquan and Sanya.
At the same time, the Haiyan system based on deep learning technology itself is constantly undergoing version update iterations from 1.0 to 2.0 and 3.0. Recently, the latest Haiyan 3.3 version will be officially released.
The main changes in the new version of Haiyan:
Faster processing
The new Haiyan single server can analyze and identify 10 million images per day, and its big data storage unit can realize second-level retrieval under 100 billion data.
Higher recognition accuracy
The recognition rate of the new version of Haiyan license plate number has increased to 99.5%; the license plate color recognition rate has increased to 99%; for the higher attention of the car to call and not to wear a seat belt, the recognition rate has increased to 95% and 98% respectively...
More recognizable content
The new version of Haiyan can identify more than 400 vehicle logos (manufacturers) and more than 5,000 subdivision models.
More comprehensive
The new version of Haiyan provides more vehicle search conditions (front end, annual inspection label, tissue box, sunroof, pendant, temporary number plate...), as well as more big data research and refinement functions and refinement functions.
How much does the net red sea swallow know?
Haiyan, the full name of the Keda Haiyan vehicle big data analysis system, has the function of secondary identification of vehicle information and driving behavior, enabling multi-dimensional search, big data research and inspection, and regulation of driver behavior and vehicle management. A powerful weapon to assist criminal investigation.
Identification includes vehicle information: car logo, subdivision models, vehicle color, type, special vehicles...
License plate information: license plate number, color, number plate type, temporary number plate, dirty number plate
Driving illegal activities: not wearing a seat belt, driving a phone
Characteristic information: skylights, pendants, tissue boxes, luggage racks, annual inspection labels, sun visor analysis, etc.
Driver behavior analysis: wearing a mask, smoking, playing mobile phones, etc.
The search form is divided into semantic search and map search, including: license plate, area, logo, sub-model, vehicle photo, vehicle characteristics, semantics, color, time, etc.
Technical warfare methods include: multi-case vehicle collision, bayonet multi-point collision, path recurrence, footing analysis, nocturnal night out, initial urban analysis, hidden vehicle excavation, path strategy analysis, vehicle frequency analysis, regional analysis, nighttime Frequent analysis, fake deck analysis;
Provide vehicle management for vehicles in the city, and provide a series of management functions such as controlling vehicle inquiries, adding new control information, importing and controlling vehicles, and removing control and alarming for the vehicle-controlled vehicles, which can be used for inspection and control.
As of November, the Keda Haiyan Vehicle Big Data Analysis System has been launched in many places across the country, and some areas have taken the lead in enabling traffic police enforcement functions. Applying efficient system software to change the complicated law enforcement mode, to provide users with more accurate target recognition, richer practical functions, and a better functional experience.