SKU: 8595256624

DAHUA SD6C3432GB-HNR-AGQ-PV1-LA 4MP 32x Starlight TiOC WizSense Network PTZ Camera

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Description

DAHUA SD6C3432GB-HNR-AGQ-PV1-LA 4MP 32x Starlight TiOC WizSense Network PTZ CameraSD6C3432GB HNR AGQ PV1 LA 4MP 32x Starlight TiOC WizSense Network PTZ Camera > 1 2. 8" 4Megapixel STARVIS CMOS. > 32x optical zoom. > Starlight technology. > Max. 25 30fps@4MP. > IR distance up to 150 m. > Auto tracking 3. 0. > Perimeter protection. > Face detection. > 4G > SMD 4. 0. > Smart Dual Light. > IP66. SD6C3432GB HNR AGQ PV1 LA DH SD6C3432GB HNR AGQ PV1 LA SD6C3432GBP HNR AGQ PV1 LA SD6C3432GBN HNR AGQ PV1 LA Camera Image Sensor 1 2. 8" CMOS

SD6C3432GB-HNR-AGQ-PV1-LA

4MP 32x Starlight TiOC WizSense Network PTZ Camera

> 1/2.8" 4Megapixel STARVIS™ CMOS.

> 32x optical zoom.

> Starlight technology.

> Max. 25/30fps@4MP.

> IR distance up to 150 m.

> Auto-tracking 3.0.

> Perimeter protection.

> Face detection.

> 4G

> SMD 4.0.

> Smart Dual Light.

> IP66.


SD6C3432GB-HNR-AGQ-PV1-LA|DH-SD6C3432GB-HNR-AGQ-PV1-LA|SD6C3432GBP-HNR-AGQ-PV1-LA|SD6C3432GBN-HNR-AGQ-PV1-LA

Camera

Image Sensor

1/2.8" CMOS

Pixel

4 MP

Max. Resolution

2560 (H) × 1440 (V)

ROM

4 GB

RAM

1 GB

Electronic Shutter Speed

1 s–1/30,000 s

Scanning System

Progressive

Min. Illumination

0.005 [email protected] (Color, 30 IRE);
0.0005 [email protected] (B/W, 30 IRE);
0 lux (illuminator on)

Illumination Distance

150 m (492.13 ft) (IR);
50 m (164.04 ft) (white light)

Illuminator On/Off Control

Zoom Prio; Manual; Auto; Off

Illuminator Number

2 (IR light); 2 (dual light fusion)

Lens

Focal Length

4.8 mm–154 mm

Max. Aperture

F1.6–F4.0

Field of View

H: 55.8°–2.3°; V: 31.9°–1.3°; D: 63.7°–2.7°

Optical Zoom

32×

Focus Control

Auto; semi-auto; manual

Close Focus Distance

0.1 m–1.5 m (0.33 ft–4.92 ft)

Iris Control

Auto; manual

DORI Distance

Detect

Observe

Recognize

Identify

3,080 m (10104.99 ft)

1,216.6 m (3991.47 ft)

616 m

(2021.00 ft)

308 m (1010.50 ft)

DORI (Detect, Observe, Recognize, Identify) is a standard system (EN-62676-4) for defining the ability of a person viewing the video to distinguish persons or objects within a covered area. The numbers in this table do not reflect intelligent function distances. For intelligent function distances, refer to installation and commissioning manual/project design tool.

PTZ

Pan/Tilt Range

Pan: 0° to 360° endless
Tilt: –20° to +90°, auto flip 180°

Manual Control Speed

Pan: 0.1°/s–160°/s;

Tilt: 0.1°/s–120°/s

Preset Speed

Pan: 240°/s;

Tilt: 150°/s

Preset

300

Tour

8 (up to 32 presets per tour)

Pattern

5

Scan

5

Power-off Memory

Yes

Idle Motion

Pattern; Preset; Scan; Tour

Intelligence

Video Metadata

Detects motor and non-motor vehicles, faces and human bodies. It also performs tracking, takes snapshots, uploads high-quality face images and optimizes images. It extracts attributes from motor vehicles, detecting up to 10 attributes for them.

IVS (Perimeter Protection)

Tripwire; intrusion; crossing fence detection; loitering detection; abandoned/missing object; fast moving; parking detection; people gathering; human alarm classification; linkage tracking

Face Detection

Supports face detection, optimization, capturing pictures, uploading high-quality face snapshots and enhancing face images. Attribute Extraction is also supported, where 6 attributes and 8 expressions can be detected. Face cutout is also offered, where you can cutout one face at a time and customize the size to be a one-inch photo. The supported methods for capturing snapshots are real-time capturing, quality first, and selecting a preferred image among a group of snapshots.

Construction Detection

Detects 6 helmet colors: Red, orange, yellow, blue, white, and black. An alarm will be triggered when a person is not wearing a helmet or when the color of the helmet that they are wearing does not match the configured color. It also supports compliance detection for work uniforms. Up to 5 work uniform sample libraries can be uploaded, which together can contain up to 1,000 images (the images must be 1080p and in the JPG format). An alarm will be triggered when the similarity between the detected work uniform and the samples in the library is below the set threshold (that is, below the minimum compliance standard for work uniforms). The system supports detecting the attributes of work uniforms such as the color of the uniform, and whether or not the person is wearing a mask and wearing shoe covers. An alarm will be triggered when the target is detected as not meeting the set requirements. It also detects and triggers alarms when only one person is in the construction site, and when no one is present in the detection area such as when a worker leaves their post or an area is left unmanned.

Auto Tracking

Auto tracking 3.0

SMD

SMD 4.0

Acupick

Uses deep learning algorithms and works with back-end devices to accurately match targets, such as people and motor vehicles, and search through live and recorded videos to quickly locate targets.

Auto Patrol

It triggers the IVS rule when a target is detected and makes the camera link with the PTZ to rotate to the position of the target and patrol based on its presets.

Active Deterrence

Light Warning

Red-Blue light warning

Flash duration: 5 s–30 s

Flash frequency: High, medium, low

Sound Warning

Sound warning alarm: Customizable

Volume: Volume: 0-100

Alarm duration: 5 s–30 s

Video

Video Compression

H.264H; H.264B; Smart H.265+; H.264; H.265; Smart H.264+; MJPEG (Sub Stream 1)

Streaming Capability

3 streams

Resolution

4M (2560 × 1440); 3M (2048 × 1536); 3M (2304 × 1296); 1080p (1920 × 1080); 720p (1280 × 720); 1.3M (1280 × 960); D1 (704 × 576/704 × 480); VGA (640×480); CIF(352×288/352×240)

Video Frame Rate

Main stream: 4M/3M/2304 × 1296/1080p/1.3M/720p @(1–25/30 fps)
Sub stream 1: D1/VGA/CIF@ (1–25/30 fps)
Sub stream 2: 1080p/1.3M/720p/CIF @(1–25/30 fps)

Bit Rate Control

CBR/VBR

Video Bit Rate

H.264: 96 Kbps–14,848 Kbps
H.265: 38 Kbps–8,960 Kbps

Day/Night

Auto (ICR); Color/B/W

BLC

Yes

WDR

120 dB

HLC

Yes

White Balance

Auto; indoor; outdoor; tracking; manual; sodium lamp; natural light; street lamp

Gain Control

Auto; manual

Noise Reduction

2D NR; 3D NR

Motion Detection

Yes

Region of Interest (RoI)

Yes

Image Stabilization

Electronic Image Stabilization (EIS)

Defog

Electronic

Digital Zoom

16×

Image Rotation

180°

Privacy Masking

Up to 24 areas can be set, with up to 8 areas in the same view;
Multiple colors available

S/N Ratio

≥55 dB

Audio

Audio Compression

PCM; G.711a; G.711Mu; G.726; MPEG2-Layer2; G722.1; G729; G723

Network

Network Port

RJ-45 (10/100 Base-T)

Wireless Carrier Frequency Band

LTE-FDD B1,B2,B3,B4,B5,B7,B8,B12,B17,B28,B66
LTE-TDD B38,B40
WCDMA: Band 1/2/3/4/5/8
GSM: Band1/3/5/8

Max Transmission Power

4G: Power class3: 23 dBm ± 2 dB

3G: Power class3: 24 dBm + 1/-3 dB

2G: Power class0: 30 dBm ± 2 dB (GSM1800/1900)

Power class5: 33 dBm ± 2 dB (GSM850/900)

Network Protocol

FTP;RTMP;IPv6;Bonjour;IPv4;DNS;RTCP;PPPoE;NTP;RTP;802.1x;QoS;HTTPS;SNMP;TCP/IP;DDNS;UPnP;NFS;ICMP;UDP;IGMP;HTTP;SSL;DHCP;SMTP;RTSP;ARP

Interoperability

ONVIF (Profile S & Profile G & Profile T); CGI; SDK

Streaming Method

Unicast; Multicast

User/Host

20 (total bandwidth: 64 M)

Storage

Micro SD card (512 GB); FTP/SFTP; NAS

Browser

IE 9 and later versions;
Chrome 41 and later versions;
Firefox 50 and later versions;
Safari 10 and later versions

Management Software

DMSS; DSS Pro

Mobile Client

iOS; Android

Port

RS-485

1 (baud rate: 1200 bps–9600 bps)

Audio Input

1 channel (LINE IN, bare wire)

Audio Output

1 channel (LINE OUT,bare wire; built-in speaker (mutually exclusive)

Alarm Input

2 (on-off value input: 0–5 VDC)

Alarm Output

1 channel

Alarm Linkage

Capture; recording; send email; preset; tour; pattern; alarm digital output; audio; warning light

Alarm Event

Motion/tampering detection; audio detection; network disconnection detection; IP conflict detection; memory card state detection; memory space detection

Power

Power Supply

12 VDC, 4 A (–10% to +25%)

Power Consumption

Deep sleep: 0.12 W
Light sleep: 2.64W
Basic: 7 W (not pulling stream in 4G); 8 W
(pulling stream in 4G);
Basic: 11 W (illuminator + not
pulling stream in 4G), 12 W (illuminator + pulling
stream in 4G)
Max: 18 W
(illuminator + red and blue alarm lights + speaker + 4G + PTZ)

Environment

Operating Temperature

–40 °C to +70 °C (–40 °F to +158 °F)

Operating Humidity

≤ 95%

Protection

IP66; TVS 6000 V lightning proof; surge protection; voltage transient protection

Structure

Product Dimensions

325.0 mm × Φ211.0 mm (12.80" × Φ8.31")

Net Weight

4.2 kg (9.26 lb)

Gross Weight

6.7 kg (14.77 lb)

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Amazon Customer
Charlottesville, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
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mackster
Grantham, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
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Stergios Papadimitriou
Pawtucket, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Sabrina
Houston, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026
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Aayan
Bozeman, US
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it. I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this. It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited. There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending. I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art. Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life. Every other night in random or toughest moment I would think about what would mark do in this situation. Thank you for this masterpiece ❤️
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Reviewed in the United States on September 18, 2025

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