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Description
EZVIZ CS-H8C-R200-1J5WKFLEzviz Smart Home WiFi Camera PAN & Tilt 5MP 4mm Lens, 30m IR, 1 2. 7 CMOS, H. 265, PAN: 350, TILT: 80, 3D DNR, WDR, AI Powered Human Vehicle Shape Detection, Two Way Talk, 3K RES, Supports Micro SD Card up to 512GB, 1xRJ45 10 100M, PSU12V1A Smart Home WiFi Camera Specifications Camera Image Sensor : 1 2. 7" Progressive Scan CMOS Shutter Speed : Self adaptive shutter Lens : 4mm@ F1. 6, viewing angle: 48 (Vertica), 91 (Horizontal), 108 (Diagonal) 6mm@
Ezviz Smart Home WiFi Camera PAN & Tilt 5MP 4mm Lens, 30m IR, 1/2.7” CMOS, H.265, PAN:350°, TILT:80°, 3D DNR, WDR, AI-Powered Human/Vehicle Shape Detection, Two Way Talk, 3K RES, Supports Micro SD Card up to 512GB, 1xRJ45 10/100M, PSU12V1A
Smart Home WiFi Camera
Specifications
Camera
- Image Sensor : 1/2.7" Progressive Scan CMOS
- Shutter Speed : Self-adaptive shutter
- Lens : 4mm@ F1.6, viewing angle: 48° (Vertica), 91° (Horizontal), 108° (Diagonal)
6mm@ F1.6, viewing angle:30° (Vertica), 56° (Horizontal), 66° (Diagonal) - Minimum Illumination : 0.5 Lux @(F1.6, AGC ON), 0 Lux with IR
(*data is obtained from EZVIZ laboratories) - PT Angle : Pan: 350°, Tilt: 80°
- Lens Mount : M12
- Day & Night : IR-cut filter with auto switch
- DNR : 3D DNR
- WDR Digital : WDR
- Black & White Night : 30m / 98ft
Video & Audio
- Max Resolution : 2880*1620
- Frame Rate : Max:30fps; Self-Adaptive during network transmission
- Video Compression : H.265 / H.264
- H.265 Type : Main Profile
- Video Bit Rate : Ultra-HD; Hi-Def; Standard. Adaptive bit rate.
- Audio Bit Rate : Self-Adaptive
Network
- Wi-Fi Standard : IEEE802.11b, 802.11g, 802.11n m
- Frequency Bands : 2.4 GHz ~ 2.4835 GHz
- Channel Bandwidth : Support 20MHz
- Security : WPA-PSK/WPA2-PSK
- Transmission Rate : 11b: 11Mbps,11g :54Mbps,11n :72Mbps
- Wi-Fi Pairing : AP pairing
- Protocol : EZVIZ cloud proprietary protocol
- Interface Protocol : EZVIZ cloud proprietary protocol
- Wired Network : RJ45 × 1(10M/100M Adaptive Ethernet Port)
Function
- Smart Alarm : AI-Powered Human / Vehicle Shape Detection
- Auto Tracking : Supports
- Customized Alert Area : Supports
- Two-way Talk : Supports
- General Function Anti-Flicker, Dual-Stream, Heart Beat, Password Protection, Watermark
Storage
- Local Storage : Micro SD card slot (Up to 512 GB)
- Cloud Storage : EZVIZ CloudPlay storage (Subscription required)
Downloads
Additional Information
| Device | Camera |
| Type | Smart Home | WiFi |
Shipping Notes
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4.2 ★★★★★
Based on 28 reviews
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Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021