The Hikvision iDS-2CD7A46G0-IZHS DeepinView Outdoor PoE+ Bullet IP Camera is a high performance outdoor surveillance camera capable of transmitting video at up to 2680 x 1520 resolution. Featuring night vision up to 30m, Wide Dynamic Range, a 2.8-12mm motorised varifocal lens, this Hikvision iDS-2CD7A46G0-IZHS IP camera is equipped to tackle any outdoor security surveillance solution.

Face Counting

With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts people and samples facial features simultaneously, and compares them with the built-in face library to prevent dupes. It also counts people and reports a face alarm simultaneously to achieve both entrance control and people counting.

Hard Hat Detection

With embedded deep learning algorithms, the camera can detect people in a specified region. It can detect whether a person is wearing a hard hat, and captures the head of the person and reports an alarm if they are not.

Multi-Target-Type Detection

With embedded deep learning algorithms, the camera detects and captures the faces and human bodies in a specified region and outputs the features such as gender, age and shirt colour. It supports structured modelling of the face and human body to achieve a structured data collection.

Queue Management

With embedded deep learning based algorithms, the camera can detect the number of people queuing and the waiting time of each person. The body feature detection algorithm helps filter out incorrect targets to increase the accuracy of detection.

Metadata

Metadata uses individual instances of application data or the data content, and can be used for third-party application development.

Smooth Streaming

Smooth streaming offers solutions to improve the 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 the redundant data for the self-error correcting in back-end device, to solve the mosaic problem because of the packet loss and error rate.