Hikvision 4MP 2.8-12mm DeepinView Motorized Varifocal Indoor Dome Camera iDS-2CD7146G0-IZS(2.8-12mm)

Hikvision 4MP 2.8-12mm DeepinView Motorized Varifocal Indoor Dome Camera iDS-2CD7146G0-IZS(2.8-12mm)

Hikvision has been dedicated to develop products with security since established. Hikvision always follows security by design principle and has adopted many methods of security technologies into our product development lifecycle, including terminal security, data security, application security, network security, and privacy protection. In the meantime, the security technologies used by Hikvision are all in compliance with local applicable laws and safety regulations. These security measures could enhance product's cyber security protection capability and protect your devices as well as your data from malicious cyber attacks.

Features

• High quality imaging with 4 MP resolution
• 1/1.8" Progressive Scan CMOS Image Sensor
• 2688 x 1520 Max. Resolution
• 2.8 to 12 mm Motorized Varifocal Lens
• Horizontal FOV: 114.5° to 41.8°, Vertical FOV: 59.3° to 23.6°, Diagonal FOV: 141.1° to 48°
• P-iris
• DORI Wide: D (Detect): 60 m, O (Observe): 23.8 m, R (Recognize): 12 m, I (Identify): 6 m
• DORI Tele: D (Detect): 149 m, O (Observe): 59.1 m, R (Recognize): 29.8 m, I (Identify): 14.9 m
• Excellent low-light performance via DarkFighter technology
• Clear imaging against strong back light due to 140 dB WDR technology
• Smart Supplement Light
• Up to 30 m IR Supplement Light Range
• 850 nm IR Wavelength
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Vandal proof (IK10)
• 1x RJ45 10/100/1000Mbps self-adaptive Ethernet port
• 1x Audio input (line in), 1x Audio output (line out), 3.5 mm connector
• Built-in microphone
• 1x Alarm input, 1x Alarm output (max. 24 VDC, 1 A)
• 1x RS-485 port (Half duplex, HIKVISION, Pelco-P, Pelco-D, self-adaptive)
• 12 VDC ± 20%, 1.02 A, max. 12.4 W, two-core terminal block
• 24 VAC ± 20%, 0.49 A, max. 11.8 W, two-core terminal block
• PoE: IEEE 802.3at, Type 2, Class 4, 42.5 V to 57 V, 0.22 A to 0.29 A, max. 12.5 W
• *Power supplies are not included

Face Capture

With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, capturing, grading and selecting. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality.

Perimeter Protection

With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc.

Multi-Target-Type Detection

With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region.

Queue Management

With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. It can generate reports to compare the efficiency of different queuing-ups and display the changing status of one queue, and supports raw data export for further analysis.

Regional People Counting

With the embedded deep learning algorithms, the camera supports people density detection and will upload detection data through scheduled uploading, number of people change uploading and congestion level uploading. It also supports number of people exception detection and waiting time exception detection.

On/Off Duty Detection

With the embedded deep learning algorithms, the camera supports absence detection and on/off duty detection. It can detect the on/off duty status and people number changes in a predefined area.

Heat Map

The camera can generate a graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area.

Multi-Dimension People Counting

With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and compares them with the built-in face picture library to remove duplicates. It counts persons and reports an alarm simultaneously to achieve both the entrance control and people counting.

Hard Hat Detection

With the embedded deep learning algorithms, the camera detects the persons in the specified region. It detects whether the person is wearing a hard hat, and reports an alarm if not.