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ESP32-S3-Touch-LCD-3.5B-C is a complete development system with an IPS display, camera, and wireless connectivity, designed for interactive applications involving voice, image, and touch. Intended for advanced IoT projects, smart terminals, control panels, and offline AI applications.
ESP32-S3-Touch-LCD-3.5B-C is an enhanced development board based on the ESP32-S3R8 chip, featuring a 3.5-inch IPS touchscreen, OV5640 camera, and integrated enclosure. Powered by a dual-core Xtensa LX7 processor running at up to 240 MHz, it supports 2.4 GHz Wi-Fi, Bluetooth 5 (LE), and includes a 6-axis accelerometer and gyroscope. The board is equipped with 8 MB PSRAM, 16 MB Flash, a power management unit (AXP2101), and an ES8311 audio codec. The 320×480 px capacitive touchscreen enables the development of interactive applications. With its integrated camera and microphone, the module supports image and voice recognition, making it ideal for IoT, HMI, and smart device applications.
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Development board with ESP32-C6 Mini-1 module from Espressif. It supports WiFi 6, Bluetooth® 5.3, Zigbee and Thread (802.15.4) protocol and offers various interface options including SPI, UART, LPUART, I2C, I2S, PWM LED controller, USB Serial/JTAG, ADC. Dedicated to IoT applications and battery-powered devices. SparkFun DEV-22925
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ESP32-S3-Touch-AMOLED-1.91 enables the development of advanced user interfaces and IoT applications with touch support. Thanks to the AMOLED display, motion sensor, PSRAM memory, and wireless connectivity, it performs well in mobile HMI panels, interactive systems, and smart devices. The connector-free design allows for easy integration in custom-mounted projects.
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Development board designed for IoT projects. It is equipped with a WiFi/Bluetooth module ESP32, LoRa 433 MHz, GPS and a basket for a Li-Ion 18650 battery. TTGO T-Beam V1.2
Module with ATSAMD51J19 microcontroller and ESP32 WiFi system dedicated to matrix displays with HUB75 interface. Adafruit 4745
M5Stack series development kit equipped with ESP32 Pico. Equipped with a 5x5 RGB LED matrix, it will work in IoT-related projects or in "wearable" devices. M5Stack C008-B
Compact development kit from the M5StickC series equipped with ESP32 Pico and display. Includes accessories for building a watch. M5Stack K016-H
Espressif ESP32-C6 WiFi module board with RISC-V core. It offers 4 MB Flash and 512 KB SRAM and RGB diode. It has a built-in ceramic WiFi/BLE antenna. Waveshare ESP32-C6-Zero
Function module designed for MicroMod boards. It allows you to add WiFi wireless communication based on the ESP32 chip to the project. SparkFun WRL-18430
ESP32-S3-Touch-LCD-4.3B-BOX is a fully integrated development solution for HMI systems, featuring an IPS touchscreen display, advanced peripheral support, and a compact enclosed design. With flexible mounting and communication options, along with wide-range power input, it is ideally suited for automation, industrial controllers, and smart user interfaces.
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ESP32-S3-ETH is a versatile development board for projects requiring simultaneous support for Ethernet, Wi-Fi, and Bluetooth. With support for cameras, TF cards, and peripheral interfaces, it is well-suited for implementing solutions in image transmission, remote control, smart monitoring systems, and integration with Raspberry Pi Pico HATs. The option to add a PoE module further enhances power and communication flexibility in industrial and IoT applications.
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The ESP32-P4-NANO-KIT-C set is an advanced development tool for projects requiring high performance, multiple interfaces, and high reliability. Built-in security features, communication extensions, and the ability to integrate with cameras and displays make it an excellent platform for creating modern IoT solutions, vision systems, and HMI applications with edge data processing.
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Development board designed for IoT projects. It is equipped with a WiFi/Bluetooth module ESP32, LoRa 868 MHz, GPS and a basket for a Li-Ion 18650 battery. TTGO T-Beam V1.1
DIY IoT kit that allows you to easily build a smart home with compatibility with ESPHome and Home Assistant, providing local control and privacy. The kit includes XIAO ESP32C3 modules, sensors for monitoring environmental parameters, detecting motion and controlling home appliances, which allows for the flexible creation of advanced IoT projects. Seeed Studio E22011026
ESP32-S3-Touch-AMOLED-2.41 is an advanced evaluation board with a 2.41" AMOLED touch screen and an ESP32-S3 microcontroller, designed for developing modern HMI interfaces and IoT applications. High resolution and color reproduction, gesture support, motion sensors, and full support for Wi-Fi and BLE make it ideal for interactive projects, mobile control systems, and graphical demonstrators. The standard version without an enclosure allows flexible adaptation to custom solutions.
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Versatile ESP32 module with LoRa and Wi-Fi support, designed for monitoring people flow and creating mesh networks in difficult conditions, such as in areas cut off from the network. The device can detect Wi-Fi and Bluetooth signals, allowing estimation of the number of mobile devices in the environment without recording MAC addresses, which protects privacy. The module offers low power consumption, data storage on SD card and data transfer via LoRa WAN or MQTT, making it a reliable and self-sufficient solution for emergency communication. modTTGO LoRa32 v2.1
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Powerful, generic Wi-Fi+BT+BLE MCU modules that target a wide variety of applications, ranging from low-power sensor networks to the most demanding tasks, such as voice encoding, music streaming and MP3 decoding. Espressif ESP32-WROOM-32E 32MBit (4MB)
ESP32-S3-Touch-LCD-3.5B-C is a complete development system with an IPS display, camera, and wireless connectivity, designed for interactive applications involving voice, image, and touch. Intended for advanced IoT projects, smart terminals, control panels, and offline AI applications.