analogdevicesinc/MAX78xxx-RefDes
MAX78000 and MAX78002 Reference Designs
These reference designs help you quickly set up and experiment with AI-powered vision tasks using Maxim's specialized microcontrollers. You can input camera feeds and train models to recognize objects, then deploy these models to a low-power device for real-time inference. It's ideal for engineers and product developers creating compact, power-efficient smart camera solutions.
No commits in the last 6 months.
Use this if you are building an embedded vision system that needs to perform AI inference on a budget-friendly, power-constrained device.
Not ideal if you are developing high-performance AI models requiring substantial computational power or cloud-based training and deployment.
Stars
19
Forks
19
Language
C
License
—
Category
Last pushed
Aug 31, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/analogdevicesinc/MAX78xxx-RefDes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
analogdevicesinc/ai8x-training
Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices
DT42/BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
SummerGift/EmbeddedSystem
:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结
eclypse-org/eclypse
An Edge-Cloud python platform for simulated (and emulated) runtime environments