SKU: 53667423575

Honda Jazz | Autoradio | 2002 t/m 2008 | Android 15 | Apple CarPlay & Android Auto

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Description

Honda Jazz | Autoradio | 2002 t/m 2008 | Android 15 | Apple CarPlay & Android AutoProductbeschrijving Geschikt voor Honda Jazz (2002 t m 2008) 9 inch Android 15. 0 CarPlay autoradio Draadloos CarPlay & Android Auto 2GB RAM + 32GB Externe microfoon & Achteruitrijcamera (AHD) Bluetooth & WiFi NAVIBOP NB 2003 Bouwjaar 2002 t m 2008 Belangrijkste voordelen in n oogopslag Perfecte pasvorm voor Honda Jazz (2002 t m 2008) voertuigspecifiek ontwerp met OEM look Draadloos & bekabeld Apple CarPlay en Android Auto bediening van navigatie,

Productbeschrijving

Geschikt voor Honda Jazz (2002 t/m 2008) | 9 inch Android 15.0 CarPlay autoradio | Draadloos CarPlay & Android Auto | 2GB RAM + 32GB | Externe microfoon & Achteruitrijcamera (AHD) | Bluetooth & WiFi | NAVIBOP NB-2003 | Bouwjaar 2002 t/m 2008

Belangrijkste voordelen in één oogopslag

  • Perfecte pasvorm voor Honda Jazz (2002 t/m 2008) – voertuigspecifiek ontwerp met OEM-look
  • Draadloos & bekabeld Apple CarPlay en Android Auto – bediening van navigatie, muziek, berichten en bellen
  • Plug & Play installatie – past direct op de originele bedrading, geen knip- of soldeerwerk
  • Android 15.0 besturingssysteem – toegang tot Google Play Store voor o.a. Spotify, YouTube, Netflix en Flitsmeister
  • Digitale installatiehandleiding – duidelijke stapsgewijze instructies

Systeemomschrijving

De NAVIBOP NB-2003 is ontwikkeld voor een volledige integratie met de Honda Jazz (2002 t/m 2008). Met het moderne Android 15.0 platform werkt dit systeem snel, stabiel en soepel voor CarPlay, Android Auto, navigatie en multimedia.

Het 9 inch HD touchscreen biedt een helder en responsief beeld. De radio behoudt alle originele functies van de auto, waaronder stuurbediening en parkeersensoren (via de CANbus-adapter), en sluit naadloos aan in het dashboard.

Belangrijkste specificaties

  • Android 15.0 – nieuwste generatie software
  • 9 inch HD touchscreen – helder, scherp en responsief
  • DSP-audio (4 × 85W) – krachtig en helder geluid
  • Draadloos & bekabeld CarPlay / Android Auto
  • Bluetooth & WiFi
  • FM & AM radio – DAB+ ondersteuning (antenne optioneel)
  • AHD-ondersteuning – geschikt voor moderne HD-camera’s
  • Google Play Store – toegang tot YouTube, Netflix, Spotify, Waze en meer
  • OEM-stijl frame – geïntegreerde afwerking in dashboard

Wat is er inbegrepen

  • NAVIBOP NB-2003 autoradio
  • Voertuigspecifiek dashboardpaneel
  • Plug & Play aansluitkabels
  • CANbus-adapter – behoud van originele functies
  • Externe microfoon
  • RCA-kabels, GPS-antenne, WiFi-antenne, USB-kabels
  • Bevestigingsmateriaal
  • Digitale handleiding (per e-mail)

Pasvorm & installatie

Deze radio is specifiek ontworpen voor de Honda Jazz (2002 t/m 2008) en past direct zonder aanpassingen. Het systeem wordt volledig voorgeconfigureerd geleverd en sluit aan op de originele bedrading. Alle functies zoals stuurbediening, parkeersensoren en audio blijven behouden.

Optionele accessoires

  • NAVIBOP TOOLS-500 – Demontageset (5-delig) EAN: 8721339900534
  • NAVIBOP N-CAM-3951 – Achteruitrijcamera AHD (losse camera) EAN: 8721339900565
  • NAVIBOP N-CAM-4420 – Achteruitrijcamera AHD (verwerkt in kentekenplaathouder) EAN: 8721339900572
  • NAVIBOP DAB-100 – DAB+ antenne EAN: 8721339900558

Veelgestelde vragen

  • Blijft de stuurbediening werken?
    Ja, alle originele functies blijven behouden via de CANbus-adapter.
  • Kan ik navigeren via mijn telefoon?
    Ja, via Apple CarPlay en Android Auto.
  • Werkt mijn iPhone ook?
    Ja, deze radio ondersteunt zowel iPhone als Android.
  • Werken parkeersensoren en de achteruitrijcamera?
    Parkeersensoren blijven actief. Originele camera’s vereisen mogelijk een adapter (optioneel).
  • Kan ik dit zelf installeren?
    Ja, de installatie is Plug & Play. U ontvangt een duidelijke digitale handleiding.

Technische notitie

Wij leveren alle standaard en meestvoorkomende stekkeraansluitingen. Heeft uw auto een afwijkende aansluiting? Neem contact met ons op – wij leveren de juiste variant. Houd rekening met een eventuele meerprijs.

Originele achteruitrijcamera’s worden meestal niet direct ondersteund. Een specifieke adapter is hiervoor nodig. Wij adviseren graag welke adapter geschikt is voor uw voertuig.

Waarom kiezen voor NAVIBOP?

  • Voertuigspecifieke ontwikkeling & OEM-afwerking
  • Snelle levering vanuit Nederland
  • Compatibiliteit gegarandeerd met behoud van originele functies
  • Professionele inbouwsupport

NAVIBOP Signature – Deze tekst en structuur zijn exclusief ontwikkeld voor NAVIBOP en juridisch beschermd. Ongeoorloofd hergebruik is niet toegestaan.

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SKU: 53667423575

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4.0 ★★★★★
Based on 7 reviews
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Product Reviews
O
Om S
Chelsea, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Alexandria, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Draper, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Phoenix, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
San Leandro, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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