#YOLO
82 related articles
·5 min
Open-Source STEM Education Robot: Smart Ball-Fetching Interaction Powered by Edge AI Object Detection
An open-source STEM education robot using Edge Impulse edge AI for local object detection, teaching kids computer vision and ML through an engaging ball-fetching game with anthropomorphic design.
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·4 min
Choosing the Wrong Agent Ruins Everything: Why the Same Model Can Perform Like Two Completely Different AIs
The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.
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·1 min
Radxa Cubie A7Z Real-World Test: 330ms End-to-End Object Detection Latency Under Full NPU Load
Deep analysis of Radxa Cubie A7Z achieving 330ms glass-to-glass object detection latency under full NPU load, covering latency breakdown, practical use cases, and edge AI optimization strategies.
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·7 min
DIY Companion Robot: Building Your AI Desktop Buddy with Jetson Orin
A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.
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·2 min
6 High-Paying AI Career Paths: A Beginner's Shortcut and Salary Guide
A breakdown of the 6 best high-paying AI career paths for beginners: LLM application development, AI agents, computer vision, AI infrastructure, AIGC, and embodied AI—with salary ranges, core skills, and who they suit.
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·6 min
AI Application Engineer Interview Guide: Core Topics in Model Quantization and Inference Deployment
A systematic review of must-know topics for AI Application Engineer interviews: PTQ/QAT quantization, operator fusion, inference pipelines, latency/throughput analysis, and edge deployment of detection/segmentation/BEV models.
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·6 min
AI Application Engineer Interview Guide: Core Topics on Model Quantization and Inference Deployment
A systematic guide to must-know AI application engineer interview topics: PTQ/QAT quantization, operator fusion, inference pipelines, latency/throughput analysis, and edge deployment of detection/segmentation/BEV models.
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·7 min
The Complete AI Character LoRA Training Workflow: Hands-On Multi-Character Consistency Generation with Local Deployment
A detailed guide to a complete local AI character generation workflow: from the five golden rules of LoRA training and automated ComfyUI dataset construction to hands-on comparisons of Crea2, Ideogram4, and Wan for multi-character same-frame interaction—all running free on personal hardware.
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·6 min
The Evolution of Claude Code: From Manual Review to 65% Fully-Automated PRs
Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.
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·3 min
The Three Core LLM Job Roles Explained: Entry Requirements and Career Roadmaps
A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.
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·3 min
Open-Source Dynamic Workflows: How awman Enables Multi-Model Collaborative AI Programming
awman's --dynamic flag enables cross-framework dynamic workflows with multi-model collaboration. Explore its leader agent architecture, shared context design, and auto fault-tolerance mechanisms.
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·2 min
Can AI Make Fruit-Picking Robots Practical? Four Core Challenges Explained
Why can't fruit-picking robots scale up? This article breaks down the four core challenges — visual perception, motion planning, end-effectors, and cost — and how AI is helping.
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·3 min
AI Daily: Alibaba Open-Sources Dance Model, World Model Launches, First AI-Native Phone Debuts
Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.
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·3 min
UAV Disaster Zone Rescue Priority Assessment: A Deep Feasibility Analysis for Final Year Projects
A deep feasibility analysis of a UAV disaster-zone rescue priority assessment project, covering SARD/HERIDAL/VisDrone datasets, pose detection, YOLO models, and ethical boundaries — a practical reference for CV final-year projects.
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Computer Vision Career Paths: A Guide …
·3 min
Computer Vision Career Paths: A Guide for Undergraduates
Is Computer Vision worth pursuing as a career? This guide covers CV job market realities, master's vs. industry tradeoffs, edge deployment skills, and how to transition toward multimodal AI engineering.
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·2 min
Multi-Sensor Kalman Fusion in Practice: A Complete Breakdown of the Shahed Drone Tracking System
A deep dive into a multi-sensor Kalman fusion drone tracking system: upgrading from single camera to camera+RF, covering CA motion models, OOSM handling, trajectory prediction, and achieving 3.36px RMSE fusion accuracy.
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·2 min
SentinelCV: An Open-Source AI Fall Detection Solution Using Your Existing Cameras
SentinelCV is an open-source YOLOv8-based fall detection system that works with existing CCTV and IP cameras. Get real-time alerts via Telegram — no new hardware needed.
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·3 min
AI-Powered OSINT in Practice: A Learning Path and Tool Guide for CS Professionals
How can OSINT practitioners with a CS background automate intelligence with AI? This guide covers computer vision, VLMs, and Agent frameworks including YOLO, SAM, and Grounding DINO.
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·4 min
Multi-Sensor Kalman Fusion in Practice: A Complete Breakdown of a Drone Tracking System
An in-depth look at how an open-source drone tracker achieves breakthroughs via multi-sensor Kalman fusion: constant-acceleration motion models, heterogeneous sensor covariance, OOSM rewind-and-replay, and RMSE dropping from 5.47px to 3.36px.
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·2 min
AI/ML Engineer Job Search Roadmap: A Systematic Preparation Guide for ECE Students
A practical job-search guide for ECE students pursuing AI/ML roles, covering direction selection, Python skills, project planning, paper strategy, and overseas opportunities.
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