Dear Sambath Narayanan Parthasarathy, *Thank you very much* 🙏 for your interest in our channel and Your words of encouragement. Those means lot to us. If you still have any issues replicating any of our DIY project/Tutorial, feel free to ping us on WhatsApp/Telegram (Links given below) for further support. Tech support - (𝗖𝗵𝗮𝘁 𝗢𝗻𝗹𝘆) Telegram/WhatsApp - 11:00 AM - 05:00 PM (Mon-Fri) IST 🚀 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 🔗 t.me/make2explore 💬 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 🔗 bit.ly/3VXGGEe 📩 info@make2explore.com / support@make2explore.com As per time permits we will try our best to help you out. Best Regards 🙏
@MrMertge2 жыл бұрын
Great Video! What do I have to download to control the motor through a hand gesture?
@make2explore2 жыл бұрын
Dear @Mert Gedik , 🙏 Thank you so much for your interest in our channel and Your words of encouragement. It means lot to us. For above mentioned query, We'll reply you on your email. For quick replies, feel free to chat with us on 🚀 *_Telegram_* t.me/make2explore We'd ❤️ love to help. Best Regards 🙏
@kiennguyenbao4231 Жыл бұрын
i want to control DC motor like "ok" to move up, "stop" to stop... So how can i solve this problem
@make2explore Жыл бұрын
Dear Kiên Nguyễn Bảo @kiennguyenbao4231, *Thank you very much* 🙏 for your interest in our channel. *_Q_* - _i want to control DC motor like "ok" to move up, "stop" to stop... So how can i solve this problem?_ ➡️ If you are asking this question in context of Jetson Nano related hardware. Then you can go with custom JetBot Kit. or You can assemble it with your own - 🔗 jetbot.org/master/ 🔗 www.waveshare.com/wiki/JetBot_AI_Kit In JetBot software setup, you can easily integrate hand pose recognition code and vice versa. 🔗 github.com/NVIDIA-AI-IOT/trt_pose_hand/blob/main/live_hand_pose.ipynb ➡️ If you want to achieve this "controlling the robot using hand gestures", then you can also use Flex Sensor Glove in combination with Hand Gesture recognition for better performance. Please note that, in JetBot based system, you can collect your own gesture images data, label it and train it. You can check out following link and explore examples like(object tracking and line tracking), you will understand. 🔗 www.waveshare.com/wiki/JetBot_AI_Kit If you still have any issues/suggestions about this Tutorial, or any of our DIY project, feel free to ping us on WhatsApp/Telegram (Links given below) for further support. Tech support - (𝗖𝗵𝗮𝘁 𝗢𝗻𝗹𝘆) Telegram/WhatsApp - 11:00 AM - 05:00 PM (Mon-Fri) IST 🚀 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 🔗 t.me/make2explore 💬 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 🔗 bit.ly/3VXGGEe 📩 info@make2explore.com / support@make2explore.com As per time permits we will try our best to help you out. Best Regards 🙏
@sholich3742 Жыл бұрын
What type of python and OpenCV do you use?
@make2explore Жыл бұрын
Dear Sholich, *Thank you very much* 🙏 for your interest in our channel. *_Q_* - _What type of python and OpenCV do you use?_ ➡️ If you are referring to/asking in context of this video tutorial then following is the system Environment setup at the time of making this "Tutorial - Hand Gesture Recognition on Jetson Nano", 📜 Software - 🕳 Python Language type - Object-oriented and procedural Approach 🕳 Python Version - 3 🕳 OpenCV - 4.5.0 (with CUDA) 🕳 Development Environment - Docker with NVIDIA's L4T ML container 🕳 Hardware Platform - NVIDIA Jetson Nano 4GB version running JetPack-V4.5 Ubuntu Base 📜 Hardware 1. NVIDIA Jetson Nano Developer Kit 2. AC8265 Wireless NIC Module 3. UHS I/II High Speed microSD Card (64GB/32GB) 4. Camera Module - USB Webcam (Logitech C270) or 5. Camera Module - CSI (RPi Camera / IMX219 Series) 6. Power Supply Adaptor - 5 Volts, 4Amps All above details are also given in video description with links to the resources. If you still have any issues replicating this Tutorial, or any of our DIY project, feel free to ping us on WhatsApp/Telegram (Links given below) for further support. Tech support - (𝗖𝗵𝗮𝘁 𝗢𝗻𝗹𝘆) Telegram/WhatsApp - 11:00 AM - 05:00 PM (Mon-Fri) IST 🚀 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 🔗 t.me/make2explore 💬 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 🔗 bit.ly/3VXGGEe 📩 info@make2explore.com / support@make2explore.com As per time permits we will try our best to help you out. Best Regards 🙏