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Naveen
Приєднався 19 лют 2020
Pick and Place Demo: Using Arduino Braccio ++ with Edge Impulse (ROS 2)
Pick and Place Demo: Using Arduino Braccio ++ with Edge Impulse (ROS 2)
Переглядів: 161
Відео
Run a Large Language Model locally on a Mixtile Blade 3 NPU
Переглядів 722 місяці тому
Run a Large Language Model locally on a Mixtile Blade 3 NPU
Cars detection and tracking using Raspberry Pi AI Kit with Edge Impulse (Recorded Video)
Переглядів 2332 місяці тому
Cars detection and tracking using Raspberry Pi AI Kit with Edge Impulse (Recorded Video)
Cars detection and tracking using Raspberry Pi AI Kit with Edge Impulse (Camera)
Переглядів 6452 місяці тому
Cars detection and tracking using Raspberry Pi AI Kit with Edge Impulse (Camera)
Visual Anomaly FOMO-AD (data collection)
Переглядів 3353 місяці тому
Please find the model inferencing video here: ua-cam.com/video/F9-PL9N708U/v-deo.html
Earthquake alerts and emergency shutdown systems with Blues
Переглядів 953 місяці тому
Earthquake alerts and emergency shutdown systems with Blues
Interfacing Arduino Alvik with micro-ROS
Переглядів 8664 місяці тому
- A micro-ROS agent is running on a Raspberry Pi 5 with ROS 2 Humble and Arduino Alvik is connected to it over Wi-Fi. - The Arduino Alvik host microcontroller (ESP32 Nano) uses the micro-ROS library and publishes IMU and PointCloud2 (8x8 TOF) messages. - The host microcontroller subscribes to a Twist message being used to teleoperate it. - The IMU raw messages and PointCloud2 data are visualize...
Edge Impulse FOMO / Brainchip Akida multi-stream inferencing demo
Переглядів 4548 місяців тому
Edge Impulse FOMO / Brainchip Akida multi-stream inferencing demo
Watch movies on the Arduino Giga R1 with a Display shield
Переглядів 1,9 тис.9 місяців тому
Watch movies on the Arduino Giga R1 with a Display shield
Yes, it can play Doom! (Arduino Nano ESP32)
Переглядів 18 тис.Рік тому
Please find more details here: www.hackster.io/naveenbskumar/yes-it-can-play-doom-ccfde1
Arduino Nano ESP32 Linux Computer
Переглядів 15 тис.Рік тому
Kindly find the details here: www.hackster.io/naveenbskumar/ultra-low-powered-linux-computer-running-on-microcontrollers-4eb9bd
Snoring Detection with Nicla Voice on a Syntiant NDP120 Neural Decision Processor
Переглядів 2,7 тис.Рік тому
Snoring Detection with Nicla Voice on a Syntiant NDP120 Neural Decision Processor
DIY Incubator Monitoring using Cellular Networks
Переглядів 157Рік тому
DIY Incubator Monitoring using Cellular Networks
Traffic monitoring with Brainchip Akida using Edge Impulse FOMO
Переглядів 1,1 тис.Рік тому
Traffic monitoring with Brainchip Akida using Edge Impulse FOMO
No-code Intrusion Detection with Blues Wireless WiFi Notecard
Переглядів 390Рік тому
No-code Intrusion Detection with Blues Wireless WiFi Notecard
Remotely controlled indoor plant watering system using nRF7002 DK over MQTT
Переглядів 354Рік тому
Remotely controlled indoor plant watering system using nRF7002 DK over MQTT
Fall detection: Transformers at the low powered edge device
Переглядів 1,3 тис.Рік тому
Fall detection: Transformers at the low powered edge device
Fast and accurate Surface Crack Detection and Localization using Texas Instruments SK-TDA4VM
Переглядів 389Рік тому
Fast and accurate Surface Crack Detection and Localization using Texas Instruments SK-TDA4VM
Fart monitoring using Coral Dev Board Micro
Переглядів 1,6 тис.Рік тому
Fart monitoring using Coral Dev Board Micro
Pharma Pills Anomaly Detection using Edge Impulse
Переглядів 371Рік тому
Pharma Pills Anomaly Detection using Edge Impulse
Running Faucet Alarm using Nordic Thingy:53
Переглядів 341Рік тому
Running Faucet Alarm using Nordic Thingy:53
Save water save our planet Earth using Nordic Thingy:53
Переглядів 178Рік тому
Save water save our planet Earth using Nordic Thingy:53
Blues Wireless Notecard Running Faucet detection demo
Переглядів 628Рік тому
Blues Wireless Notecard Running Faucet detection demo
DIY BLE Stereo using Nordic nRF5340 Audio DK
Переглядів 7042 роки тому
DIY BLE Stereo using Nordic nRF5340 Audio DK
Hi friend, one question, what type or brand of external battery are you using? Thanks!
Anker PowerCore Fusion 5000
@@kumarnaveen thank you my friend. Best regards 💪🏻
Tell your teacher that you are testing new features 😂
This is super cool! i want to make something similar for my embedded systems final. Any tips would be appreciated!
I would like to know more about this project, can i contact yout through email or linkedin?
Which lcd screen did u use
www.adafruit.com/product/1947
Can you please provide you phone number because iam working on this project need assistance
That's amazing
Very nice work
Hi, are using free account to train the data on edge impulse? I kept getting runtime error as it exceed 20 min training time. Great video btw.
Try to reduce the image size and epochs, but you might need more compute time based on the model size. You can ask Edge Impulse to increase the compute time a bit.
Hello Sir my self Dipanshu , Currently i am building my own VR headset to display the live footage of my pc screen or say casting pc screen on VR i have done all process and able to show the laptop screen to my self made VR of 128x128 screen with esp32 controller currently i am transmitting 16 bit pixels data of my pc screen using processing ide to esp32 over wifi but i noticed for each frame of data it to0k 40ms to receive over wifi by which my fps get reduce right now i am getting 25 fps without any compression and having full quality, now i am searching for the controller which can provide me the fastest speed to receive data over wifi, so can u plz suggest me any if, currently i am sending 128x128x2 size of buffer without any issue and if i reduce the bit depth from 16 to 8 bit then i am getting 45 fps but the video quality gets reduce......if u want to go throughout the process i will share u the details....
Send JPEG image over WiFi.
@@kumarnaveen but it will reduce fps, due to time taken by encoding and decoding
You didn't check the hardware (mentioned in the video) specs. It includes a hardware JPEG codec. content.arduino.cc/assets/Arduino-Portenta-H7_Datasheet_stm32h747xi.pdf
@@kumarnaveen I tried this, it increases the fps from 25 to 40 but also reduce the image quality, jpeg is a lossy compression is there any other technique for this.....
@@kumarnaveen it takes 23ms to draw single frame which is 1000/25 = 40fps means my entire code takes only 2ms even wifi to receive frame buffer only Tjpeg.drawJPG takes my entire time how I can reduce it..
plz do share more details on this project
Please check the description for the project link.
Nice project! If any custom PCBs can help for upcoming project? Would like to sponsor! (PCBWay zoey)
Great and useful project!
That is incredible project. You can think of it as true open-source computer
with colors????? wow
Hi, interesting project, can you share it?
what camera do you use? can you provide a new tutorial with esp32 cam?
Can it run Doom?
Yes, If we could drive the LCD directly using the framebuffer device driver. By the way you do not require Linux to run Doom, it can be run on ESP32S3 directly. ua-cam.com/video/45rIYjcHQCQ/v-deo.html
I was looking so hard for someone that made a coral dev board micro project powered off a battery/power bank. Thanks man
THIS IS..... AMAZING! I would like to see more of this!!
still missing sound
Nice! Thanks for sharing.
hey there. i want program a nrf5340 custom board and i need connect it with LCD2*16. in vscode nrF connect extention i cant do it. can you guide me? or do you have sample code for this application?
Your welcome for watching
Now connect the GPIO extension board, connect one 5/12 V submersible pump, put it in the water and sprinkle the water upon snoring sound 😂
I doubt even ai will provide a solution to who smelt it and who dealt it, but this is a step in the right direction
Some description would be useful.
This is amazing!
Hi naveen, could you tell me where did you purchase the Thingy53 from?(store).If you have purchased it online could you share the link or website name? Thanks in advance
I received it from Electromaker.io. You can buy it from Mouser or Digikey.
I'm new to electronics and don't know much about it, but is it possible to make it work using Arduino Giga R1 WiFi and Arduino Giga display shield?
This cannot run at 35 fps (34 in the hackster article). At 40MHz SPI clock (as configured), the 320x240x16bpp screen can be updated only at about 32.6 fps. Also, analyzing the code, it looks like that Retro-go does neither use double buffering nor partial screen update for Doom. This means that you can reach 32 fps only when facing a wall (I.e. when rendering time is negligible). This can be also inferred from the video, it does not even look closer to 30fps. You might see that when moving or turning, there are many times, when two consecutive frames have the exact same content. Since the video is 30fps, I guess the actual frame rate is between 15-20.
I reported the frame rate from the Retro-go logs. I am not sure about the real frame rate but it is playable at this current frame rate.
How can we connect a speaker?
Use an external DAC with I2S.
can you share the pcb files for kikad?
Nice work! Just wondering if you may need any PCBs in the upcoming videos, if so, we'd be glad to offer you some. (PCBWay Daisy)😊
Ads 💀
Is Linux running on Arduino Nano ESP32 ? what is used Arduno Uno R4 WiFi
Yes, Linux is running on the Nano ESP32. The Uno R4 is being used to control serial console, display, and keyboard.
It is very cool! Could you explain to us more detail how to make a .img file ( retro-go_1.39-pre-dirty_esplay-s3.img ) that you described ? I think ...It should be like this. Is it correct? ./rg_tool.py --target arduino_nano_esp32 build-img retro-go_1.39-pre-dirty_esplay-s3.img I really look forward to watching your project.
That's correct. For details please find the link in the description.
I'm sold 😂where can I buy one.
can i get the code and the guide to setup the EK
Please find all details here: www.electromaker.io/project/view/remote-controlled-holiday-lighting-using-nrf21540-fem
@@kumarnaveen thank you very much
How can i make it run whit sound?
I have not tried it yet. There is no DAC on the ESP32-S3 so you would need an external DAC and probably an amplifier. The firmware I used supports configuration using I2S.
Very impressive fart monitor, its just scratching the surface of what the future of fart monitoring could be. Finally AI now has a real purpose.
How to make it
Please see details here: www.hackster.io/naveenbskumar/yes-arduino-nano-esp32-can-play-doom-ccfde1
Thanks bro
what the hell, you sound like achilles from ac3, lol
👍
Omg I need that Gotta make myself one
awesome setup... i love it
Awesome 👍
Awesome!
That's very cool I'm surprised the esp32 can do that
This is just awesome.. would love to see the WiFi plus blink example
Какая практическая ценность такого компьютера?
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