TTGO OV2640 Fish Eye T-Camera with ESP32 WROVER/B & PSRAM 0.96 OLED and Onboard MIC
TTGO OV2640 Fish Eye T-Camera with ESP32 WROVER/B & PSRAM 0.96 OLED and Onboard MIC
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TTGO OV2640 Fish Eye T-Camera with ESP32 WROVER/B & PSRAM 0.96 OLED and Onboard MIC is a Microcontroller available online in India from Tech Depot India.
Specifications
| Specification | Details |
| Product Type | IoT Camera Module with Microcontroller |
| Brand | TTGO |
| Origin | Original/Authentic |
| Microcontroller | ESP32 WROVER with dual-core 240MHz processor |
| Memory | 4MB PSRAM for image and data buffering |
| Camera Sensor | OV2640 with 160-degree fish-eye lens, 2MP resolution |
| Display | 0.96-inch OLED display with I2C interface |
| Audio Input | Onboard microphone for sound sensing and recording |
| Connectivity | WiFi 802.11 b/g/n and Bluetooth 4.2 BLE |
| Power Supply | USB-C or 3.3V-5V external power input |
| Operating Temperature | -40°C to 85°C |
Why Choose TTGO OV2640 Fish Eye T-Camera with ESP32 WROVER/B & PSRAM 0.96 OLED and Onboard MIC?
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Key Features of TTGO OV2640 Fish Eye T-Camera with ESP32 WROVER/B & PSRAM 0.96 OLED and Onboard MIC
- 160-Degree Fish-Eye Lens: Captures ultra-wide panoramic views ideal for surveillance, autonomous robotics, and environmental monitoring with minimal blind spots
- 4MB PSRAM Architecture: Enables simultaneous image capture, real-time processing, and storage without memory constraints, supporting edge AI inference on device
- Integrated 0.96-inch OLED Display: Provides instant visual feedback for debugging, configuration, and real-time monitoring without external peripherals
- Dual-Core ESP32 WROVER Processor: 240MHz dual-core CPU with integrated WiFi and Bluetooth enables both local processing and cloud connectivity for hybrid IoT deployments
- Onboard Microphone: Integrated audio sensor enables multimedia applications including voice commands, sound detection, and acoustic monitoring
- USB-C Programming Interface: Simplifies firmware development and debugging with standard USB connectivity for Arduino IDE and MicroPython environments
- Low Power Design: Optimized power consumption suitable for battery-powered IoT devices with sleep modes and dynamic frequency scaling
Perfect For
- Security and Surveillance Systems: Deploy compact WiFi-enabled cameras for home automation, office monitoring, and perimeter surveillance with local edge processing for motion detection and alerts
- Autonomous Robotics: Integrate as vision module for obstacle avoidance, SLAM navigation, and environmental mapping in mobile robots with onboard image processing capabilities
- Industrial IoT Monitoring: Monitor machinery, assembly lines, and equipment conditions with real-time visual inspection and predictive maintenance using edge AI models
- Environmental Sensing: Capture wide-angle environmental data for wildlife monitoring, weather station applications, and agricultural surveillance with integrated audio for acoustic ecology research
- Smart Home Automation: Build voice-activated camera systems with gesture recognition and activity detection for intelligent home monitoring and control
- Educational and Research Projects: Ideal for computer vision learning, IoT prototyping, and embedded systems education with accessible Arduino and MicroPython programming environments
How to Use
Begin by installing the CH340 USB drivers on your computer and connecting the TTGO OV2640 via USB-C to your development machine. Download and install the Arduino IDE or MicroPython firmware, then configure the board settings to recognize the ESP32 WROVER module. The OLED display communicates via I2C on GPIO 21 (SDA) and GPIO 22 (SCL), while the OV2640 camera uses the JTAG interface for image data transmission. Initialize the camera sensor with appropriate resolution and frame rate settings based on your application requirements, then implement image capture routines using the ESP-IDF camera driver or Arduino camera libraries.
For WiFi connectivity, configure your SSID and password in the firmware to enable remote image streaming or cloud uploads. The onboard microphone connects to the ADC pins for audio sampling at configurable bit depths and sample rates. Utilize the 0.96-inch OLED display to show real-time camera preview, sensor status, or processed results. For advanced applications, leverage the 4MB PSRAM to store multiple image frames for batch processing or implement lightweight TensorFlow Lite models for on-device object detection and classification. Test power consumption in different operating modes to optimize battery life for portable deployments.
Product Overview
The TTGO OV2640 represents a sophisticated integration of imaging and computing technologies in a single development board. At its core lies the ESP32 WROVER module featuring dual-core processing at 240MHz, 4MB PSRAM for image buffering, and integrated WiFi and Bluetooth connectivity. The OV2640 camera sensor captures images at up to 2MP resolution with a 160-degree fish-eye lens, enabling wide-angle surveillance and panoramic applications. The integrated 0.96-inch OLED display provides real-time visual feedback, eliminating the need for external monitors during development and deployment.
What distinguishes this module is its hardware architecture optimized for edge AI and computer vision workloads. The 4MB PSRAM enables simultaneous image capture, processing, and storage without bottlenecking the primary RAM. The onboard microphone adds audio sensing capabilities, making it suitable for multimedia IoT applications. The ESP32 WROVER's built-in SSL/TLS support ensures secure data transmission, while the fish-eye lens provides exceptional field-of-view coverage for security monitoring, autonomous navigation, and environmental sensing applications. The compact form factor and low power consumption make it ideal for battery-powered IoT deployments.
TTGO OV2640 Fish Eye T-Camera with ESP32 WROVER/B and PSRAM 0.96 OLED and Onboard MIC
The TTGO OV2640 Fish Eye T-Camera is a compact IoT camera module combining the powerful ESP32 WROVER microcontroller with an OV2640 image sensor and 0.96-inch OLED display for real-time visual monitoring and processing. Embedded systems engineers, robotics developers, and IoT professionals use this module to build intelligent vision applications with onboard processing capabilities and wireless connectivity. This product solves the challenge of integrating high-resolution imaging, edge computing, and local display feedback in space-constrained applications without requiring external components.
Frequently Asked Questions
What image resolutions does the OV2640 sensor support?
The OV2640 supports multiple resolution outputs including 2048x1536 (2MP), 1600x1200 (UXGA), 1280x1024 (SXGA), 10reliable68 (XGA), 800x600 (SVGA), 640x480 (VGA), and lower resolutions down to 160x120. The fish-eye lens distortion is inherent to the optical design, making it ideal for wide-angle applications but requiring software undistortion for precise measurements.
Can I stream video over WiFi to a remote server?
Yes, the ESP32 WROVER's integrated WiFi module supports real-time video streaming via RTSP, MJPEG over HTTP, or custom protocols. The 4MB PSRAM provides sufficient buffering for frame queuing. Frame rate depends on WiFi bandwidth and image resolution. For optimal performance, use lower resolutions like VGA at 15-30 FPS for streaming, or implement frame skipping and compression algorithms to reduce bandwidth requirements.
How do I use the onboard microphone for audio recording?
The onboard microphone connects to the ESP32's ADC pins for analog sampling. Configure the ADC input with appropriate sample rate (typically 16kHz for voice applications) and bit depth (8 or 12-bit). Use the Arduino analogRead() function or ESP-IDF ADC driver to capture audio samples. For higher quality audio, implement digital filtering and noise reduction algorithms. Store audio data in PSRAM or external SD card if available for post-processing or transmission.
What is the power consumption and battery life?
Active power consumption ranges from 150-300mA depending on WiFi state, camera operation, and display usage. In deep sleep mode, consumption drops to approximately 10mA. For a 2000mAh battery, expect 6-13 hours of continuous operation or several days with intermittent operation. Optimize battery life by implementing sleep timers, reducing frame rate, and disabling WiFi when not needed.
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.
Customer Support
Email: techdepotindia@gmail.com
WhatsApp: Available for setup and troubleshooting help
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