Pay in installments of $1250.00 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Oct 31 - Nov 5
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Dahua IPC-PT2249C1-S-PV-PRO 2MP WizColor Active Deterrence WizSense Network PT CameraDahua IPC PT2249C1 S PV PRO 2MP WizColor Active Deterrence PT Camera F1. 0 Aperture, Auto Tracking Lite, Full Color Night Vision Key Performance Highlights 2MP WizColor PT Camera with Active Deterrence 2MP HD & 1 2. 8" CMOS: 19201080 resolution with excellent low light sensitivity for clear imaging. WizColor 24 7 Full Color Recording: F1. 0 large aperture captures bright, vivid color images even in near darkness no need for IR switching. Smart Warm
Dahua IPC-PT2249C1-S-PV-PRO 2MP WizColor Active Deterrence PT Camera – F1.0 Aperture, Auto Tracking Lite, Full-Color Night Vision
Key Performance Highlights – 2MP WizColor PT Camera with Active Deterrence
- 2MP HD & 1/2.8" CMOS: 1920×1080 resolution with excellent low-light sensitivity for clear imaging.
- WizColor 24/7 Full-Color Recording: F1.0 large aperture captures bright, vivid color images even in near darkness – no need for IR switching.
- Smart Warm Light & Active Deterrence: 30 m warm light illumination with adjustable flash (duration 5–30s, 3 frequencies) + 3 built-in voice alarms for proactive threat prevention.
- Auto Tracking Lite & Preset Patrol: Intelligent target following; supports 80 presets, 8 tours (6 presets each, with adjustable stay duration and tour interval).
- Advanced WizSense Intelligence: SMD 3.0, human/vehicle detection, IVS (tripwire, intrusion), and 120dB True WDR.
- Two-Way Talk & Compact PT Design: Built-in microphone and speaker for real-time communication. Pan: 0°–345°, tilt: 0°–90°.
- Efficient Encoding & Storage: Smart H.265+ reduces bandwidth; supports Micro SD card up to 512 GB and FTP storage.
- Rugged & Reliable: IP66 weatherproof, TVS 2000V surge protection, operates –30°C to +55°C.
Camera Specification – 2MP WizColor PT Camera
| Image Sensor | 1/2.8" CMOS |
|---|---|
| Max. Resolution | 2MP – 1920 (H) × 1080 (V) – 1080p Full HD |
| ROM / RAM | 256 MB / 256 MB |
| Electronic Shutter Speed | 1 s – 1/100,000 s |
| Scanning System | Progressive |
| Min. Illumination | Color: 0.0005 [email protected] (30 IRE); 0 lux (illuminator on) |
| Illumination Distance & Type | Warm light: 30 m (98.43 ft) – 4 warm light LEDs |
| Illuminator Control | Auto; Manual; Off |
Lens & DORI Distance (F1.0 Large Aperture)
| Focal Length / Aperture | 3.6 mm fixed focal | F1.0 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Field of View | H: 89.5°, V: 51°, D: 96° | ||||||||||
| Close Focus Distance | 1.7 m (5.58 ft) | Iris Control | Fixed | ||||||||
| DORI Distance (EN-62676-4) |
|
WizSense Intelligence & Active Deterrence
| SMD 3.0 | Smart Motion Detection with human/vehicle filtering. |
|---|---|
| Human / Vehicle Detection | Yes – reduces false alarms. |
| IVS (Perimeter Protection) | Tripwire; Intrusion. |
| Smart Tracking | Auto Tracking Lite – automatically follows moving targets. |
| Active Deterrence – Light Warning | Warm light flashing – duration 5–30 s, frequency high/medium/low adjustable. |
| Active Deterrence – Sound Warning | 3 built-in sound alarms; volume 0–100%; play times 1–10 adjustable. |
| Compression / Smart Codec | Smart H.265+; H.265; Smart H.264+; H.264B/H.264M/H.264H; MJPEG (sub stream 1) |
|---|---|
| Streaming Capability | 2 streams |
| Resolution Options | 1080p, 1.3M, 720p, D1, VGA, CIF |
| Video Frame Rate | Main stream: 1920×1080 @ 1–25/30 fps Sub stream: 704×576 @ 1–25 fps (PAL) / 704×480 @ 1–30 fps (NTSC) |
| Bit Rate Control / Bit Rate | VBR/CBR. H.264: 8–6400 kbps; H.265: 3–3840 kbps |
| WDR / Image Enhancements | 120 dB True WDR, BLC, HLC, 2D/3D NR, ROI, Electronic Defog, Digital Zoom (16×), Image Rotation 180° |
| Audio | Built-in mic + speaker for two-way talk | Audio compression: PCM, G.711A, G.711Mu |
PT & Mechanical Specifications – Preset Patrol
| Pan/Tilt Range | Pan: 0°–345°; Tilt: 0°–90° |
|---|---|
| Manual Control Speed | Pan: 0.1–34.5°/s; Tilt: 0.1–36.4°/s |
| Preset Speed | Pan: 0.1–33.8°/s; Tilt: 0.1–36.3°/s |
| Preset / Tour | 80 presets; 8 tours (up to 6 presets per tour; stay duration per preset: 60–360 sec; tour interval: 900–3600 sec) |
| Idle Motion / Power-off Memory | Preset; Tour | Yes |
| Network Port | RJ-45 (10/100 Base-T) |
|---|---|
| Network Protocols | HTTP; HTTPS; TCP/IP; IPv4; RTSP; UDP; NTP; DHCP; DNS; DDNS; IPv6; SSL; QoS; FTP; ICMP; IGMP; ARP; RTCP; RTP; RTMP |
| Interoperability | ONVIF (Profile S/G/T); CGI; SDK |
| Local Storage | Micro SD card (up to 512 GB); FTP |
| User/Host / Bandwidth | 20 users (total bandwidth 64 Mbps) |
| Management Software / Browser | DMSS; NVR; IE7+, Chrome, Firefox, Safari; iOS/Android mobile app |
I/O Interfaces & Alarm
| Audio I/O | 1 input (built-in mic) + 1 output (built-in speaker) |
|---|---|
| Alarm Linkage | Capture; recording; audio; light |
| Alarm Event | Motion/tampering detection; audio detection; network/IP conflict; SD card status; storage space |
| Abnormal Sound Alarm | Yes |
| Power Supply | 12 VDC, 1A ±10% OR PoE (802.3af) |
|---|---|
| Power Consumption (PoE) | Basic: 3.6 W; Max (illuminator + PTZ): 9.5 W |
| Operating Temperature / Humidity | –30 °C to +55 °C (–22 °F to +131 °F) | ≤95% RH |
| Protection Ratings | IP66 (weatherproof), TVS 2000V lightning/surge/voltage transient protection |
| Certifications | CE |
Physical Structure
| Casing Material | Metal + plastic |
|---|---|
| Product Dimensions | 153.5 mm × Φ129.3 mm (6.04" × Φ5.09") |
| Net Weight / Gross Weight | 0.8 kg (1.76 lb) / 1.2 kg (2.64 lb) |
| Power Adapter | Optional |
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.4 ★★★★★
Based on 22 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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