SKU: 95568452923

Metal Detector con display LCD ad alta sensibilità MD9020C

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Description

Metal Detector con display LCD ad alta sensibilità MD9020C1. Il display LCD retroilluminato pu facilmente identificare il metallo in condizioni di oscurit o luce 2. Gli oggetti rispondono in modo pi diretto sullo schermo, con tre diverse frequenze sonore per classificare diversi tipi di metalli 3. Elimina obiettivi indesiderati, possibile impostare il rilevatore in modo che non risponda a determinati oggetti 4. Posizionamento: quando ci si avvicina a un oggetto, il segnale sullo schermo lampeggia verso il

1. Il display LCD retroilluminato può facilmente identificare il metallo in condizioni di oscurità o luce
2. Gli oggetti rispondono in modo più diretto sullo schermo, con tre diverse frequenze sonore per classificare diversi tipi di metalli
3. Elimina obiettivi indesiderati, è possibile impostare il rilevatore in modo che non risponda a determinati oggetti
4. Posizionamento: quando ci si avvicina a un oggetto, il segnale sullo schermo lampeggia verso il centro
5. Cavo nascosto della bobina di ricerca (che collega l'unità di controllo e la bobina di ricerca) per evitare grovigli e facilitare la regolazione della lunghezza dell'asta
6. Con torcia a LED ad alta luminosità, comoda per l'uso notturno
7. Con il jack per le cuffie, collegare le cuffie da utilizzare, è possibile utilizzare cuffie stereo e mono
8. Controllo del volume: utilizzato per regolare il volume di uscita degli altoparlanti o delle cuffie
9. Indicatore di stato della batteria: visualizza lo stato della batteria
10. Bobina di ricerca impermeabile, comoda per l'uso in acque poco profonde
11. Asta regolabile: regola la lunghezza del rilevatore comodo da usare
12. Profondità di rilevamento: fino a 1-3 m
13. Frequenza del segnale: 6,6 KHz
14. Alimentazione: 6 batterie AA da 1,5 V (non incluse)
Dimensione:
peso del pacco
Peso di ogni pacco 1.54kgs / 3.39lb
Taglia unica del prodotto 54cm * 11cm * 22cm / 21.26inch * 4.33inch * 8.66inch
Quantità di una scatola 18
Peso di una scatola 30.00kgs / 66.14lb
Dimensioni di una scatola 50cm * 50cm * 60cm / 19.69inch * 19.69inch * 23.62inch
Banco di merci 20GP: 177 Scatola * 18 Pezzo = 3186 Pezzo
40HQ: 412 Scatola * 18 Pezzo = 7416 Pezzo

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SKU: 95568452923

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Johann
Pawtucket, US
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
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jrw879
Pawtucket, US
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
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Wil C
Natrona Heights, US
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book. Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
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Verified Purchase
Abdul
Port Orchard, US
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
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Y. Banga
Lexington, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025

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