Service Scenarios

Smart City

Relying on artificial intelligence technology, we will open up and integrate the city's systems and services, improve resource utilization, optimize city management services, and improve the quality of life of citizens. Stardust has a wealth of experience in a variety of application scenarios covering public and commercial fields. Through clear and clear rule definitions and high-quality data delivery results, it helps improve model accuracy and helps build cities that can perceive, analyze, and make decisions. , The urban nervous system that guides urban development.

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Relying on artificial intelligence technology, we will open up and integrate the city's systems and services, improve resource utilization, optimize city management services, and improve the quality of life of citizens. Stardust has a wealth of experience in a variety of application scenarios covering public and commercial fields. Through clear and clear rule definitions and high-quality data delivery results, it helps improve model accuracy and helps build cities that can perceive, analyze, and make decisions. , The urban nervous system that guides urban development.

Application scenarios

1.Security monitoring
Security monitoring uses computer vision algorithms to track people and give early warning of dangers.In night scenes, public places, residential areas and other scenes through target recognition and target detection, identification of pedestrians, and then complete the location and tracking of pedestrians.When the tracking target is deformed, the shape of the target is similar or the target is blocked, the accurate judgment of the target tracking algorithm will be affected.Stardust supports face dot labeling projects with up to 180 points. Meanwhile, it can customize quality inspection rules and verify the labeling results in complex scenes, generating a large amount of high-quality data to help improve the accuracy of algorithm models.
2.ReID
Security monitoring uses computer vision algorithms to track people and give early warning of dangers.In night scenes, public places, residential areas and other scenes through target recognition and target detection, identification of pedestrians, and then complete the location and tracking of pedestrians.When the tracking target is deformed, the shape of the target is similar or the target is blocked, the accurate judgment of the target tracking algorithm will be affected.Stardust supports face dot labeling projects with up to 180 points. Meanwhile, it can customize quality inspection rules and verify the labeling results in complex scenes, generating a large amount of high-quality data to help improve the accuracy of algorithm models.
3.Smart Transportation
Intelligent transportation provides traffic information service under real-time traffic data.Object recognition and spatial semantic segmentation technologies are used to collect and identify traffic environment information, so as to realize the close cooperation between people, vehicles and roads.In the process of acquisition and recognition, it is difficult to deal with complex environment, such as fuzzy road edge, target occlusion and illumination change.Stardust has accumulated profound data in processing road scenes. Trained annotators can accurately judge images and point cloud scenes. The quality inspection rules are perfect and clear, and customization is supported to ensure the output of high-quality structured data.

Rich project experience

Stardust data includes project experience of various smart city-related scenes, such as open ground, building public area, office area, etc. For scenes with fuzzy motion, overlapping pedestrians and undetermined, comprehensive rule inspection can completely avoid deterministic errors, help to produce high-quality labeling results and improve the accuracy of algorithm model.

High value customization solutions

Based on the experience of massive projects, we can provide customers with collection plans and labeling schemes for different scenes, such as day, night, indoor and outdoor.

Professional labeling team

We have set up exclusive data bases in many provinces, and have more than 500 professional annotation teams on the platform. All the annotation personnel on the platform can take up the post only after passing the training and examination, which is highly professional.

Automatic auxiliary annotation tools

We are equipped with a variety of automatic auxiliary annotation tools, such as continuous frame annotation tools for video scenes, which can reduce labor costs, avoid a lot of time and greatly improve the efficiency of annotation through smoother operation

Technical Solutions

Facial Recognition

ReID

LiDAR Object Detection

3D Semantic Segmentation

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