Features:
- High Quality Imaging with 12 MP Resolution
- DWDR for Clear Imaging Against Strong Backlight
- H.265+ Compression Saves Bandwidth/Storage
- Advanced Streaming Technology for Smooth Live
- View and Data Self-Correcting in Poor Network
- 5 Streams and up to 5 Custom Streams
- Water/Dust Resistant (IP67), Vandalproof (IK10)
Hikvision's iDS-2CD7A46G0-IZHS(Y) cameras' embedded deep learning algorithms integrate multiple intelligences. The technologies count people and sample face features simultaneously and identify people passing repeatedly over a period of time. It also activates a face alarm for entrance control and people counting. Hard Hat Detection With embedded deep learning algorithms, the camera detects persons in a specified region. It detects if the person is wearing a hard hat and captures the person's head and reports an alarm if not.
Multi-Target-Type Detection With embedded deep learning algorithms, the cameras detect and capture faces and human bodies in specific regions and output features such as gender, age, and top color. They support a structurized model of the face and human body for structurized data collection. Queue Management The embedded deep learning based algorithms also detect the number of queued people and the waiting time of each person. A body feature detection algorithm helps filter out wrong targets and increases detection accuracy. Metadata Metadata uses individual instances of application data or data content. Metadata can be used forthird 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 networks, the cameras transmit redundant data for self-error correcting in the back-end device to solve mosaic problems because of packet loss and error rate.