TTGO T-Camera ESP32 WROVER & PSRAM Camera Module ESP32-WROVER-B OV2640 Camera Module 0.96 OLED Normal Camera with Mic

The TTGO T-Camera is a compact, all-in-one IoT camera module built on the ESP32-WROVER-B microcontroller with integrated 4MB PSRAM, featuring a 2-megapixel OV2640 camera sensor, 0.96-inch OLED display, and built-in microphone for multimedia applications. Professional developers, embedded systems engineers, and IoT hobbyists use this module to build real-time video surveillance systems, remote monitoring solutions, smart home devices, and edge computing applications. This product solves the critical challenge of integrating wireless connectivity, image processing, and local display capabilities into a single compact form factor without requiring external components or complex wiring.

Product Overview

The TTGO T-Camera ESP32-WROVER-B represents a sophisticated integration of processing power, memory, and sensor technology in a single module. At its core, the ESP32-WROVER-B dual-core processor operates at 240MHz with 4MB of external PSRAM, enabling real-time image processing and buffering of high-resolution frames. The OV2640 camera sensor delivers 2-megapixel still images and MPEG4 video streaming at 15fps, with a 66-degree field of view suitable for close-range monitoring and documentation. The 0.96-inch OLED display provides real-time visual feedback directly on the device, eliminating the need for external monitors or mobile applications during initial setup and debugging.

What distinguishes this module is its integrated microphone for audio capture, dual-band WiFi (802.11 b/g/n), Bluetooth 4.2 connectivity, and built-in USB-to-Serial converter for seamless programming. The PSRAM expansion allows developers to store multiple image frames in memory simultaneously, enabling advanced algorithms like motion detection, face detection, and image comparison without relying on external storage. The compact 54x40mm form factor with integrated lithium battery connector makes it ideal for portable applications, while the Arduino IDE compatibility and extensive community support ensure rapid development cycles.

Key Specifications

Specification	Details
Product Type	IoT Camera Module with Microcontroller
Brand	TTGO
Origin	Original and Authentic
Warranty	7 days on manufacturing defects
Shipping	1-5 days from Bengaluru
Delivery	7-8 days across India
Support	24/7 via Email and WhatsApp
Microcontroller	ESP32-WROVER-B Dual-Core 240MHz
RAM	4MB External PSRAM
Camera Sensor	OV2640 2-Megapixel
Camera Resolution	1600x1200 pixels (UXGA)
Video Streaming	MPEG4 at 15fps
Display	0.96-inch OLED 128x64 pixels
Microphone	Built-in analog microphone
Connectivity	WiFi 802.11 b/g/n, Bluetooth 4.2
Battery Connector	JST 1.25mm 2-pin
Operating Voltage	3.3V to 5V via USB or battery
Dimensions	54mm x 40mm x 15mm

Key Features

• ESP32-WROVER-B with 4MB PSRAM enables simultaneous frame buffering and real-time image processing without external memory modules
• OV2640 2-megapixel camera with 66-degree field of view and UXGA resolution supports high-quality still photography and video streaming
• 0.96-inch OLED display provides instant visual feedback for configuration, debugging, and live preview without external peripherals
• Integrated microphone with analog input enables audio recording and voice-activated features for multimedia IoT applications
• Dual-band WiFi and Bluetooth 4.2 connectivity allows remote access, cloud integration, and wireless programming
• Arduino IDE and MicroPython compatibility ensures rapid prototyping with extensive library support and community resources
• USB-to-Serial converter enables direct programming without external FTDI adapters
• Compact form factor with integrated battery connector supports portable and wearable applications

Applications and Use Cases

• Remote Security Monitoring: Deploy as a WiFi-enabled surveillance camera with local OLED display for real-time alerts and motion detection using edge computing algorithms
• Smart Home Automation: Integrate with home automation systems for video doorbell functionality, room occupancy detection, and automated lighting control based on visual input
• Industrial IoT and Asset Tracking: Monitor equipment status, document maintenance procedures, and capture timestamped images for compliance logging in manufacturing environments
• Robotics and Autonomous Systems: Use as a vision sensor for obstacle detection, line following, and environmental mapping in mobile robots and drones
• Wildlife and Environmental Monitoring: Deploy in remote locations with battery power for time-lapse photography and wildlife documentation without cellular connectivity
• Medical and Healthcare Applications: Implement as a telemedicine camera module for remote patient monitoring and diagnostic imaging in portable health devices
• Educational Prototyping: Teach embedded systems, computer vision, and IoT concepts with hands-on projects including face detection, gesture recognition, and video streaming

How to Use

Begin by connecting the TTGO T-Camera to your computer via the integrated USB port. Install the CH340 USB driver if necessary, then open the Arduino IDE and select the ESP32 board from the Tools menu. Download the TTGO T-Camera library from the official repository, which includes camera initialization code, OLED display drivers, and WiFi configuration examples. Configure your WiFi credentials in the sketch, compile, and upload the firmware. The OLED display will immediately show the camera feed and connection status once powered on.

For advanced applications, leverage the 4MB PSRAM to implement real-time image processing algorithms. Use the camera interrupt handler to capture frames at regular intervals, store them in PSRAM for comparison-based motion detection, or implement face detection using TensorFlow Lite Micro. The microphone input connects to the ESP32's ADC pins, allowing you to record audio samples simultaneously with video. For cloud integration, use the built-in WiFi to transmit images to AWS IoT, Google Cloud, or custom servers. The OLED display serves as a diagnostic tool during development, displaying frame rates, memory usage, and sensor status. Always configure appropriate power management settings when operating on battery power to extend runtime beyond 4-6 hours.

Frequently Asked Questions

What is the maximum WiFi range and data transmission speed of the TTGO T-Camera?

The TTGO T-Camera operates on 802.11 b/g/n WiFi with a typical range of 50-100 meters in open space and 20-30 meters through walls depending on obstacles and interference. Data transmission speed reaches 150Mbps in ideal conditions, though actual video streaming is limited by the OV2640 camera's 15fps MPEG4 output, which requires approximately 2-5 Mbps bandwidth. For reliable remote monitoring over the internet, use cloud services like AWS IoT or Firebase to handle compression and buffering.

Can I use the TTGO T-Camera for face detection and recognition applications?

Yes, the ESP32-WROVER-B with 4MB PSRAM is capable of running TensorFlow Lite Micro models for face detection and basic recognition. However, the dual-core 240MHz processor and limited RAM restrict the model complexity. Use lightweight pre-trained models like MobileNet or YOLO-Tiny for real-time performance. For advanced facial recognition requiring high accuracy, process images on a backend server while the device handles edge detection and local alerts. The PSRAM allows buffering multiple frames for comparison-based algorithms.

How do I record audio from the built-in microphone and save it to a file?

The TTGO T-Camera's microphone connects to the ESP32's ADC pins. Use the I2S audio driver to configure the microphone input, then sample audio at 16kHz or 44.1kHz depending on your application. For file storage, either use an external microSD card module connected via SPI, or transmit audio data to a cloud server for storage. The built-in PSRAM can buffer approximately 2-3 seconds of audio at 16-bit mono, sufficient for short voice commands or alerts before transmission.

What is the battery life of the TTGO T-Camera on a single charge?

Battery life depends on the capacity of the connected lithium battery and operational mode. A typical 2000mAh battery provides 4-6 hours of continuous operation with WiFi and OLED display active. To extend battery life, implement sleep modes between image captures, reduce OLED brightness, disable Bluetooth when not needed, and use lower WiFi transmission power. For long-term deployments, use a 5000mAh+ battery or implement solar charging with a dedicated power management circuit.

Is the TTGO T-Camera compatible with popular IoT platforms like Home Assistant or Node-RED?

Yes, the TTGO T-Camera integrates seamlessly with IoT platforms through MQTT, HTTP, or WebSocket protocols. Home Assistant can receive MJPEG streams via the camera platform, while Node-RED can trigger image captures and process sensor data. Use the built-in WiFi to publish sensor readings to MQTT brokers, enabling real-time automation rules. Community-contributed integrations and blueprints are available for rapid deployment without custom coding.

When will I receive my order?

Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.

What is your return and warranty policy?

We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.

Are bulk discounts available?

Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.

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