app controlled smart heated insoles
SKU: 6189000888

app controlled smart heated insoles

$104.40 $116.00
Save 10%
No.2 Bestseller on lunioncom.com >

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 6 - Jul 11

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

app controlled smart heated insolesSPECIFICATIONS Application: Foot Brand Name: MOFAJIANG Effect: Feet Warmer Pad Features 1: APP Control Heated Insoles Features 2: Electric Foot Warming Pad Features 3: Feet Heater Shoe Pads Features 4: Smart Heated Insoles Rechargeable Foot Warming Pad Features 5: Rechargeable Wireless Heating Insoles Features 6: Winter Outdoor Sports Heating Insole Features 7: Warm Thermal Insoles Features 8: Unisex Insoles High concerned chemical: None Is Batteries

SPECIFICATIONS

Application: Foot

Brand Name: MOFAJIANG

Effect: Feet Warmer Pad

Features 1: APP Control Heated Insoles

Features 2: Electric Foot Warming Pad

Features 3: Feet Heater Shoe Pads

Features 4: Smart Heated Insoles Rechargeable Foot Warming Pad

Features 5: Rechargeable Wireless Heating Insoles

Features 6: Winter Outdoor Sports Heating Insole

Features 7: Warm Thermal Insoles

Features 8: Unisex Insoles

High-concerned chemical: None

Is Batteries Included: Yes

Item Type: Braces & Supports

Material: Plastic plus carbon fiber

Model Number: Heated Insoles

Number of Pieces: One Unit

Origin: Mainland China


Features:

1. The heated insoles feature glue-injection reinforcement with fully sealed battery compartments, effectively preventing being crushed and puncture damage. This reinforced and durable structure ensures long-lasting, safe use in all conditions.

2. Our winter electric foot warmers provide precise 40°C/104°F, 50°C/122°F, and 60°C/140°F settings (with 30-70°C adjustment in the app) to comfortably adapt to varying cold weather needs.

3. Each rechargeable heated insole contains a 3000mAh battery providing up to 16 hours at 40°C, supported by efficient 5V/2A fast charging technology.

4. Made with odor-resistant foam material, the intelligent heated insoles deliver soft, breathable, waterproof, and sweat-proof comfort while maintaining dryness during extended wear.

5. Through the dedicated and upgraded app on your mobile phone, these trimmable heating insoles can independently control the temperature of the left, right, and both feet; provide real-time temperature monitoring; and offer 15–120 minute timers for personalized warmth management.

6. As versatile wireless winter heating insoles, they provide multiple sizes and a trimmable design to ensure a perfect fit for both men and women in various shoe types.

7. Our wireless heated shoe pads are extremely ideal for outdoor activities. They deliver fast, even heat distribution across the entire foot—perfect for hunting, skiing, fishing, and winter camping.


APP Instruction：

1. Timer settings: 15 mins/30 mins/45 mins/1 hour/1.5 hours/2 hours

2. Temperature can be set independently for left and right feet, or simultaneously for both

3. APP displays current real-time temperature (synchronized with insole temperature), shows set temperature and remaining timer duration

4. Flexibly switch between Celsius and Fahrenheit

5. Temperature can be turned off to place the insoles in standby mode


Specifications:

Product Name: Intelligent Heated Insoles
Product Model: AMH10
Material: Open-cell PU foam
Color: Black + Red
Rated Voltage: 3.7V
Rated Power: 5W
Charging Voltage: 5V
Charging Current: 2A
Battery Type: Lithium-ion polymer battery
Battery Model: 974058
Battery Capacity: 3000mAh (per insole)
Charging Time: 2-3 hours
Full Charge Usage Time:
Setting at 40°C: about 16 hours
Setting at 50°C: about 7 hours
Charging Indicator: Red LED light is always on
Can it be turned on while charging: No


Packing List:

1pair*Insoles
2pcs*Charging Cables
1*English Instruction Manual
1*English Color Box



Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 6189000888

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.7 ★★★★★
Based on 1241 reviews
Sort
Highest Rating
Newest First
Oldest First
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
Louisville, 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
Houston, 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
Chelsea, 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

recommand products

Shiny Black & Dusty Rose Scarf
24.00
Blue Geo Scarf
26.00
Stacking Pearl Necklace
12.00
Black Paisley Border Scarf
26.00
Wood Manger
15.00