Features:
- High Quality Imaging with 12 MP Resolution
- 2.8 mm-12 mm Varifocal Lens
- Clear Imaging Against Strong Backlight Due to DWDR Technology
- H.265+ Compression
- Smooth Live View and Data Self-Correcting
- 5 Streams and Up to 5 Custom Streams To Meet a Wide Variety of Applications
- Vandalproof (IK10)
Attribute-Based People Counting Embedded deep learning algorithms integrate multiple intelligences. They count people, sample face features, and identify people who pass repeatedly over a period of time. They count persons and send a face alarm for entrance control and people counting. Hard Hat Detection Embedded deep learning algorithms detect persons in a specified region. They detect if the person is wearing a hard hat and captures the person's head and sends an alarm if not. Multi-Target-Type Detection Embedded deep learning algorithms detect and capture the face and human body in specified regions and outputs features such as gender, age, and top color. It supports a structurized modeling of the face and human body to achieve structurized data collection.
Queue Management With embedded deep learning based algorithms, the camera detects queued people number and waiting times. The body feature detection algorithm filters out wrong targets and increases detection accuracy. Metadata Metadata uses individual application data instances or the data content. Metadata can be used for third-party application development. Smooth Streaming Smooth streaming improves video quality in different network conditions. For example, in poor network conditions, adapting to the detected real-time network condition, streaming bit rate and resolution are automatically adjusted to avoid mosaic and lower latency in live view; in multiplayer network conditions, the camera transmits redundant data for self-error correcting in back-end device to solve mosaic problems because of packet loss and error rate.