SKU: 81804092565

DAHUA DH-PFM800-N - Par de transceptores pasivos HDCVI 4K / 1 canal de transmisión de video / 720P hasta 400m 1312.34ft 1080Phasta 250m820.21ft / UTP CAT 5E & CAT6 / Anti intertferencia hasta 60db / Compatible con formatos HDCVI, AHD, TVI y CVBS

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DAHUA DH-PFM800-N - Par de transceptores pasivos HDCVI 4K / 1 canal de transmisión de video / 720P hasta 400m 1312.34ft 1080Phasta 250m820.21ft / UTP CAT 5E & CAT6 / Anti intertferencia hasta 60db / Compatible con formatos HDCVI, AHD, TVI y CVBSInformacin General El DH PFM800 N de Dahua es un accesorio de instalacin diseado para transmitir seales de video en sistemas de videovigilancia mediante pares trenzados Cat 5E 6. Este balun pasivo de 1 canal no requiere alimentacin externa, lo que reduce costos y simplifica el cableado. Es compatible con mltiples formatos como HDCVI, TVI, AHD y CVBS, y permite distancias de transmisin significativas (por ejemplo, para modelos similares hasta 300 400 m

DAHUA DH-PFM800-N - Par de transceptores pasivos HDCVI 4K / 1 canal de transmisin de video / 720P hasta 400m 1312.34ft 1080Phasta 250m820.21ft / UTP CAT 5E & CAT6 / Anti intertferencia hasta 60db / Compatible con formatos HDCVI, AHD, TVI y CVBS
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SKU: 81804092565

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Sai
Grantham, US
★★★★★ 2
Pages were torn
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Reviewed in the United States on January 20, 2026
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Kirk D. Borne
Belleville, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025
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Amazon Customer
San Leandro, US
★★★★★ 5
good book for beginners in Python and in simulation
Format: Kindle
Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
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Reviewed in the United States on January 2, 2026
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Amazon Customer
New York, US
★★★★★ 5
would highly recommend
Format: Paperback
well written even a newbie can follow
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Reviewed in the United States on May 18, 2025
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mauricio z
Bozeman, US
★★★★★ 5
great book
Format: Paperback
perfect for beginners
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Reviewed in the United States on March 22, 2024

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