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MakerChat0x18: Computer Vision: How Machines See?

MakerChat

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MakerGram last edited by

Unveiling the Marvels of Computer Vision!

Step into the realm of technology where machines perceive the world through their digital eyes. Join us for an exhilarating journey as we unravel the secrets of "Computer Vision: How Machines See?"

From decoding image processing fundamentals to diving deep into complex deep learning algorithms, this captivating talk will demystify how machines extract insights from visual data. ️

Discover the magic of neural networks, mirroring the human brain's visual processing prowess. Imagine the possibilities for healthcare, automotive innovation, and entertainment that lie ahead!

Join us in decoding the language of pixels and patterns, and witness the future of technology unfold before your eyes. Don't miss out on this enlightening event that will change how you perceive the world of machines!

Date: 2nd Sep 2023
Time: 2:45 PM
Location: TinkerSpace

️ Registration: http://go.makerchat.co/mc0x18

RSVP today. Let's delve into the world of "Computer Vision: How Machines See?" together! ️‍️
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Join the 53rd MakerChat at MakerVillage. India’s largest electronic hardware incubator & ESDM facility, supporting hardware startups with advanced labs, incubation programs, and industry connections (MeitY initiative).

Explore how AI accelerator chips are built and discover the invisible world of the radio spectrum that powers wireless communication.

•⁠ ⁠AI Accelerators (Design to Wafer) — Alosh Denny
•⁠ ⁠Radio Spectrum & Wireless Signals — Vignesh
•⁠ ⁠Special Session: Startup Support Programs by MakerVillage CEO Mr. Venkat

️ Limited Seats – Register Now!
Feb 7 | MakerVillage
Register link: go.makerchat.co/mc0x35

A great opportunity to visit MakerVillage and learn deep-tech from industry experts.

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A

@salmanfaris No, still now , there is no improvements

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@amalkrishnam3 Hi, Were you able to make any progress.

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A

I have been working on a similar project . In which I want to capture data using the PDM mic and trasmit it through the BLE available . I am new to hardware and these sensors so I am unable to make sense of the data I am reciving on the other side(central) that is my mobile device(iphone X) with BlueLight application. I am able to find a service and I am reciving some form of hex code,but I don't know how to convert it to wave files or don't know whether it's possible or not .

If you guys have any idea or any resources that could help please do share.

I am attaching my code below :
#include <ArduinoBLE.h> #include <mic.h> // microphone library // Microphone Settings #define DEBUG 1 #define SAMPLES 800 mic_config_t mic_config = { .channel_cnt = 1, .sampling_rate = 16000, .buf_size = 1600, .debug_pin = LED_BUILTIN }; NRF52840_ADC_Class Mic(&mic_config); int16_t recording_buf[SAMPLES]; volatile static bool record_ready = false; // Updated UUIDs #define SERVICE_UUID "19B10000-E8F2-537E-4F6C-D104768A1214" #define CHARACTERISTIC_UUID_AUDIO "19B10001-E8F2-537E-4F6C-D104768A1214" // BLE Service and Characteristic BLEService audioService(SERVICE_UUID); // Corrected initialization with explicit value size and fixed length flag BLECharacteristic audioDataCharacteristic(CHARACTERISTIC_UUID_AUDIO, BLERead | BLENotify | BLEWrite, sizeof(recording_buf), true); void setup() { Serial.begin(115200); while (!Serial) delay(10); Serial.println("Initializing microphone..."); Mic.set_callback(audio_rec_callback); if (!Mic.begin()) { Serial.println("Mic initialization failed"); while (1); } Serial.println("Mic initialized."); Serial.println("Initializing BLE..."); if (!BLE.begin()) { Serial.println("Failed to start BLE!"); while (1); } BLE.setLocalName("SCT Audio"); BLE.setAdvertisedService(audioService); audioService.addCharacteristic(audioDataCharacteristic); BLE.addService(audioService); // Corrected writeValue call with explicit casting audioDataCharacteristic.writeValue((uint8_t)0); BLE.advertise(); Serial.println("BLE Peripheral is now advertising"); } void loop() { BLEDevice central = BLE.central(); if (central) { Serial.println("Connected to central device"); while (central.connected()) { if (record_ready) { // Plot the audio data in the Serial Plotter for (int i = 0; i < SAMPLES; i++) { Serial.println(recording_buf[i]); } // Transmit the audio data audioDataCharacteristic.writeValue((uint8_t*)recording_buf, 2 * SAMPLES); Serial.println("Audio data transmitted over BLE"); record_ready = false; } } Serial.println("Disconnected from central device"); } } static void audio_rec_callback(uint16_t *buf, uint32_t buf_len) { static uint32_t idx = 0; for (uint32_t i = 0; i < buf_len; i++) { recording_buf[idx++] = buf[i]; if (idx >= SAMPLES){ idx = 0; record_ready = true; break; } } }
My overall project capture the audio using the pdm mic and transmit it through the BLE and we will do a audio processing throguh api(fast api) calls . I don't know whether it's the right way to do this,but that's the overall idea .

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@mkgrmAbhinand Sorry, no simulators are available.

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