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🚦 DIY Arduino Traffic Signal System! #arduino #arduinoproject #diyelectronics
Built a smart Road Traffic Signal System using Arduino and a timer-based control algorithm. The LEDs automatically switch between Red, Yellow, and Green lights to simulate a real-world traffic intersection. This beginner-friendly Arduino project is great for learning automation, timing control, and embedded systems. If you enjoy Arduino DIY ...
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The new Arduino VENTUNO Q redefines what’s possible with an accelerated dual-brain architecture for real-world AI and robotics. ✨ Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS 🧠 16 GB RAM, 64 GB eMMC expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition, and more 🧩 Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🔗 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD 🤖 ROS 2 com
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The new Arduino VENTUNO Q redefines what’s possible with an accelerated dual-brain architecture for real-world AI and robotics. ✨ Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS 🧠 16 GB RAM, 64 GB eMMC expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition, and more 🧩 Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🔗 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD 🤖 ROS 2 com
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The new Arduino VENTUNO Q redefines what’s possible with an accelerated dual-brain architecture for real-world AI and robotics. ✨ Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS 🧠 16 GB RAM, 64 GB eMMC expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition, and more 🧩 Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🔗 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD 🤖 ROS 2 com
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The new Arduino VENTUNO Q redefines what’s possible with an accelerated dual-brain architecture for real-world AI and robotics. ✨ Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS 🧠 16 GB RAM, 64 GB eMMC expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition, and more 🧩 Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🔗 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD 🤖 ROS 2 com
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