| Keterangan Lainnya |
Using lens (2.8-12mm) @F1.2, 4K resolution, horizontal field of view: 110.0°~40.1°
1. Support for outputting panoramic images, the resolution of panoramic images can reach 2 million pixels (1920 × 1080), and it can output 30fps real-time image at this resolution
2. Support the output of close-up pictures, the resolution of close-up pictures can reach 2 million pixels (1920 × 1080), and can output 30fps real-time image at this resolution
3. Using deep learning algorithms, taking massive pictures and video resources as the roadbed, and extracting target features by the machine itself, forming a deep learning human body image. Greatly improve the detection rate of the target human body.
4. Support outputting student close-up pictures and student panoramic pictures, and the resolution of each picture is not less than 1080p
5. There is no need to configure any rule areas, the students can be detected when they start up, and they can be close-up after the students have stood up. |
| Deskripsi |
Using lens (2.8-12mm) @F1.2, 4K resolution, horizontal field of view: 110.0°~40.1°
1. Support for outputting panoramic images, the resolution of panoramic images can reach 2 million pixels (1920 × 1080), and it can output 30fps real-time image at this resolution
2. Support the output of close-up pictures, the resolution of close-up pictures can reach 2 million pixels (1920 × 1080), and can output 30fps real-time image at this resolution
3. Using deep learning algorithms, taking massive pictures and video resources as the roadbed, and extracting target features by the machine itself, forming a deep learning human body image. Greatly improve the detection rate of the target human body.
4. Support outputting student close-up pictures and student panoramic pictures, and the resolution of each picture is not less than 1080p
5. There is no need to configure any rule areas, the students can be detected when they start up, and they can be close-up after the students have stood up. |
