6.3M
JAThe is exactly what computer vision was made for #naruto #computer #code #tech #computervision
@james.uzumaki_
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#Computervision
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RO🛠️ Project Title
Hand Tracking System using Python and Computer Vision
This video shows the setup, algorithm, and final result of a real-time hand tracking system in one concise build.
📌 What’s in this video:
• Python-based platform and libraries
• Hand detection and tracking algorithm overview
• Main components (camera, software libraries)
• Application setup and execution
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🛠️ عنوان المشروع
نظام تتبع اليد باستخدام بايثون والرؤية الحاسوبية
يعرض هذا الفيديو الإعداد، الخوارزمية، والنتيجة النهائية لنظام تتبع اليد في الزمن الحقيقي بشكل مختصر.
📌 محتوى هذا الفيديو:
• منصة بايثون والمكتبات المستخدمة
• شرح خوارزمية كشف وتتبع اليد
• المكونات الرئيسية (الكاميرا، المكتبات البرمجية)
• إعداد وتشغيل التطبيق
@robo.nest
541.4K
AGEksperimen Computer Vision hari ini: Implementasi Google Mediapipe buat hand tracking. Green ball = Smash, Red ball = Avoid. Seru juga ngoding logika interaksi tanpa controller fisik!
Note: Jangan hiraukan orang yang di belakang 😂
#codinglife #fullstackdeveloper #belajarkoding #artificialintelligence
@agungpriyatno.ts
62.3K
TEMarco Franzon created a web app to teach people computer vision basics.
It will allow users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats.
It features predefined convolution kernels applied in real-time:
- Sobel operator for edge detection (computes gradients to highlight boundaries)
- Gaussian Blur: averages neighboring pixels with weights to reduce noise
- Sharpen: boosts local contrast to enhance details
Follow @techwith.ram for more such contents.
🎬 mfranz_on (X)
@techwith.ram
428.0K
MR🌟 The Ultimate Electronics eBooks Bundle - Link in Bio‼️
✅ Includes Code & Complete Diagram
✅ Step-by-step Instructions
✅ Instant Download | Lifetime Access
👉 Click Here: @mr_circuits007
#electronics #arduino #robotics #opencv #computerscience
[Arduino, Electronics, Robotics, Embedded System, Engineering, Science and Technology, Computer Science, Computer Vision, AI, ML, OpenCV, ECE, EEE, Innovation, Python, Coding]
@mr_circuits007
383.0K
TEProject from @joanielemercier: As technology increasingly shapes how we see and interact with the world, it becomes important to understand how easily human perception can be manipulated by software and visual systems.
This demonstration shows markerless perspective correction, where a display adapts in real time to the viewer’s position, creating the illusion of a stable 3D space without special hardware or tracking markers.
Originally inspired by Johnny Chung Lee’s 2008 experiments, this technique highlights how computer vision, geometry, and human psychology intersect, and why critical awareness matters as immersive technologies become more common.
Love technology? Follow @Technology
#technology #data #graphics #video #reels
@technology
107.2K
KAOur smart mirror just got an upgrade 🤩
Thanks to the new Arduino Uno Q with 4 GB RAM and 32 GB storage, we were able to add computer vision and voice recognition features - taking it to the next level ⬆️
What feature should we add next? 🤔
#arduino #arduinoproject #electronicsengineering
@kamitronix
5.6K
DENeural networks don’t “understand” the world the way humans do... they transform it.
What you’re seeing here is how artificial neural networks actually learn: raw inputs are passed through multiple layers, where each layer reshapes the data slightly, amplifying useful signals and suppressing noise. Over time, these layered transformations turn messy inputs into structured representations the model can act on.
There’s no magic. No intuition. Just math, weights, activations, and gradients, stacked layer by layer.
This is the foundation behind machine learning, deep learning, computer vision, LLMs, and everything from game AI to self-driving systems. Learning happens not in one leap, but through thousands of small adjustments that slowly bend data into meaning.
Understanding this process is key to understanding how modern AI really works and why it’s so powerful.
Follow @deeprag.ai for clear, visual explanations of AI, neural networks, and the ideas shaping the future of intelligence.
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#artificialintelligence #neuralnetworks #deeplearning #machinelearning #aiexplained computerscience datascience aieducation llm futureofai aiarchitecture techlearning deepragai
@deeprag.ai
59.8K
PIComputer vision 101: training a model to detect when someone touches grass using YOLO 🤖🌱 #tech #machinelearning #ai
@pikacodes
2.9K
TGAs technology shapes how we see the world, this experiment reveals how easily perception can be manipulated by software.
Using markerless perspective correction, the display adapts in real time to the viewer’s position, creating the illusion of a stable 3D space without special hardware or markers.
The idea builds on early experiments from 2008, showing how computer vision, geometry, and human perception can combine to reshape what we believe we are seeing.
Follow @tgwmedia_ for engineering concepts the internet rarely explains.
Credits: @joanielemercier
( Computer Vision, Digital Illusion, Perspective Technology, Human Perception, Interactive Displays, Visual Computing, Immersive Technology )
#TGWMedia #ComputerVision #TechInnovation #DigitalIllusion #FutureTechnology
@tgwmedia_
1.2M
INSomeone tested Genie 3 with a mirror and things got weird🪞
Watching AI try to reason through reflections is strangely unsettling.
At first, it looks normal.
Then the “reflection” stops behaving like a reflection.
And starts acting like a second character in the world.
It’s a small glitch — but it reveals something big about how AI understands reality.
Wait for that moment.
Follow @infinitemindsai for daily insights that keep you ahead in AI, Business & Tech ⚡
Credit: @SkyeSharkie on X
Genie 3 mirror test, AI mirror reflection glitch, AI understanding reality, AI perception error mirrors, generative AI spatial reasoning, AI simulation glitch, computer vision mirror problem, AI world model limitations, AI reflection confusion, AI reasoning failure example
#ArtificialIntelligence #AIGlitch #ComputerVision #FutureOfAI #Genie3
@infinitemindsai
4.4K
JATop 3 naruto hand signs using computer vision #naruto #computer #code #tech #computervision
@james.uzumaki_
✨ #Computervision発見ガイド
Instagramには#Computervisionの下に460K件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
Instagramの膨大な#Computervisionコレクションには、今日最も魅力的な動画が掲載されています。@james.uzumaki_, @infinitemindsai and @agungpriyatno.tsや他のクリエイティブなプロデューサーからのコンテンツは、世界中で460K件の投稿に達しました。
#Computervisionで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @james.uzumaki_, @infinitemindsai, @agungpriyatno.tsなどがコミュニティをリード
#Computervisionについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Computervisionのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均2.1M回の再生（平均の2.7倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長516文字
📹 #Computervisionには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✨ 多くの認証済みクリエイターが活動中（25%） - コンテンツスタイルを研究
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