{"product_id":"m5stack-esp32-psram-timer-camera-fisheye-ov3660","title":"M5STACK ESP32 PSRAM Timer Camera Fisheye (OV3660)","description":"\u003cmeta name=\"description\" content=\"Buy M5STACK ESP32 PSRAM Timer Camera Fisheye (OV3660) online in India at best price from The Tech Depot, Bengaluru. Authentic product, 7-day warranty on manufacturing defects, fast delivery across India.\"\u003e\n\n\u003ch1\u003eM5STACK ESP32 PSRAM Timer Camera Fisheye (OV3660)\u003c\/h1\u003e\n\n\u003cp\u003eThe M5STACK ESP32 PSRAM Timer Camera Fisheye is a compact, integrated IoT camera module combining a dual-core ESP32 microcontroller with 4MB PSRAM and an OV3660 fisheye lens sensor delivering 3MP resolution with 160-degree wide-angle field of view. Professional developers, roboticists, and embedded systems engineers use this module for time-lapse photography, surveillance systems, drone vision, and autonomous navigation projects where compact form factor and wide-angle capture are critical. This module solves the challenge of integrating wireless connectivity, processing power, and high-resolution imaging into space-constrained applications without requiring external components or complex integration.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\u003cp\u003eThe M5STACK ESP32 PSRAM Timer Camera Fisheye combines the computational power of the Tensilica dual-core ESP32 processor running at 240MHz with 4MB of PSRAM for efficient image buffering and real-time processing. The OV3660 CMOS image sensor captures 3MP images with exceptional clarity across a 160-degree fisheye field of view, ideal for applications requiring panoramic perspective without mechanical pan-tilt mechanisms. The integrated timer functionality allows scheduled image capture and transmission, making it perfect for time-lapse documentation, environmental monitoring, and periodic surveillance tasks. Built-in WiFi and Bluetooth connectivity enables seamless image transfer to cloud platforms or local networks, while the compact 54x40mm form factor integrates easily into robotics platforms, drones, and IoT installations.\u003c\/p\u003e\n\n\u003cp\u003eThe module operates on a single 5V USB power input with optimized power management for extended operation in battery-powered applications. The OV3660 sensor features automatic white balance, automatic exposure control, and multiple output formats including JPEG and RAW, providing flexibility for different computational requirements. The PSRAM expansion eliminates memory bottlenecks when processing high-resolution images or maintaining multiple frame buffers simultaneously. The firmware is pre-loaded with M5Stack's UIFlow visual programming environment, allowing rapid prototyping without deep embedded systems knowledge, while advanced users can deploy custom Arduino or MicroPython code for specialized applications.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eESP32 Integrated Camera Module with Timer Functionality\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eM5STACK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e7 days on manufacturing defects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003e1-5 days from Bengaluru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelivery\u003c\/td\u003e\n\u003ctd\u003e7-8 days across India\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003e24\/7 via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrocontroller\u003c\/td\u003e\n\u003ctd\u003eTensilica Dual-Core ESP32, 240MHz, 520KB SRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExternal Memory\u003c\/td\u003e\n\u003ctd\u003e4MB PSRAM for image buffering and processing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Sensor\u003c\/td\u003e\n\u003ctd\u003eOV3660 CMOS, 3MP, 160-degree Fisheye Lens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImage Formats\u003c\/td\u003e\n\u003ctd\u003eJPEG, RAW, multiple resolutions up to 2048x1536\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003eWiFi 802.11 b\/g\/n, Bluetooth 4.2 BLE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e5V USB, optimized power management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e54mm x 40mm x 12mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e0 to 40 degrees Celsius\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e160-degree Fisheye Lens with OV3660 3MP Sensor: Captures ultra-wide panoramic images without mechanical pan-tilt mechanisms, ideal for surveillance, drone vision, and environmental monitoring applications requiring expansive field of view coverage\u003c\/li\u003e\n\u003cli\u003e4MB PSRAM Extension: Eliminates memory constraints when processing high-resolution images, maintaining multiple frame buffers, or running computationally intensive vision algorithms directly on the module\u003c\/li\u003e\n\u003cli\u003eIntegrated Timer Functionality: Enables autonomous scheduled image capture at user-defined intervals, perfect for time-lapse photography, periodic environmental documentation, and unattended monitoring systems\u003c\/li\u003e\n\u003cli\u003eDual-Core ESP32 Processing: 240MHz Tensilica processor handles real-time image processing, WiFi transmission, and sensor control simultaneously without external compute modules\u003c\/li\u003e\n\u003cli\u003eWireless Connectivity: Built-in WiFi and Bluetooth 4.2 BLE for direct cloud integration, local network streaming, and mobile app control without additional wireless modules\u003c\/li\u003e\n\u003cli\u003eUIFlow Visual Programming: Pre-loaded firmware supports drag-and-drop programming environment, reducing development time for non-embedded engineers while maintaining full Arduino\/MicroPython support for advanced users\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous Robot Vision Systems: Deploy on mobile robots and autonomous vehicles for 160-degree environmental awareness, obstacle detection, and navigation mapping using the wide-angle fisheye perspective for comprehensive scene understanding\u003c\/li\u003e\n\u003cli\u003eTime-Lapse Environmental Monitoring: Monitor construction sites, weather patterns, plant growth, or wildlife activity with scheduled image capture over extended periods, with automatic WiFi transmission to cloud storage platforms\u003c\/li\u003e\n\u003cli\u003eDrone and UAV Integration: Lightweight form factor and integrated processing enable compact aerial platforms with real-time video analysis, autonomous landing detection, and onboard image compression for bandwidth-limited wireless transmission\u003c\/li\u003e\n\u003cli\u003eIndustrial Surveillance and Safety: Deploy in warehouses, manufacturing floors, and hazardous environments where wide-angle coverage eliminates blind spots and integrated processing enables local edge analytics without external servers\u003c\/li\u003e\n\u003cli\u003eIoT Security Systems: Create wireless security cameras with local processing capabilities, motion detection algorithms, and scheduled capture modes for battery-powered perimeter monitoring and intrusion detection\u003c\/li\u003e\n\u003cli\u003eResearch and Educational Projects: Ideal platform for computer vision research, machine learning model training on embedded devices, and teaching IoT and robotics concepts with tangible hardware integration\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\u003cp\u003eBegin by connecting the M5STACK ESP32 PSRAM Timer Camera Fisheye to a 5V USB power source. Access the pre-loaded UIFlow interface through the M5Stack web IDE or mobile application, where you can configure WiFi credentials, set image capture intervals using the timer functionality, and define output destinations for captured images. The module automatically initializes the OV3660 sensor and PSRAM upon boot, performing automatic white balance and exposure calibration. For basic time-lapse applications, simply select capture interval, resolution, and storage method through the visual programming blocks without writing any code.\u003c\/p\u003e\n\n\u003cp\u003eAdvanced users can upload custom Arduino sketches or MicroPython code through the Arduino IDE or MicroPython REPL respectively. The ESP32 provides direct access to camera control registers, allowing fine-tuning of exposure, gain, color balance, and output format. Utilize the PSRAM for buffering multiple frames before transmission, implementing local edge processing algorithms like motion detection or object recognition before uploading to cloud platforms. Configure WiFi parameters to connect to your local network or cloud services like AWS IoT, Azure IoT Hub, or custom REST APIs for real-time image transmission and remote monitoring. The integrated timer interrupt functionality allows precise scheduling of capture events independent of network connectivity, ensuring reliable operation in offline scenarios with local storage fallback.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the actual field of view and distortion characteristics of the OV3660 fisheye lens?\u003c\/summary\u003e\n\u003cp\u003eThe OV3660 fisheye lens provides a 160-degree horizontal field of view with barrel distortion typical of fisheye optics. This wide angle eliminates the need for mechanical pan-tilt mechanisms and captures expansive scenes in single frames. The distortion is inherent to fisheye design and can be corrected in post-processing using standard fisheye-to-rectilinear conversion algorithms if required for specific applications. For surveillance and robot vision applications, the barrel distortion is often advantageous as it provides early warning of objects entering the peripheral field of view.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eHow does the 4MB PSRAM improve performance compared to standard ESP32 modules without external memory?\u003c\/summary\u003e\n\u003cp\u003eStandard ESP32 modules have only 520KB of internal SRAM, which severely limits image processing capabilities. The 4MB PSRAM provides sufficient buffer space to store multiple complete image frames simultaneously, enabling advanced processing techniques like frame differencing for motion detection, image stitching for panoramic reconstruction, or running lightweight machine learning models for object detection. PSRAM is slower than internal SRAM but faster than external flash storage, making it ideal for image buffering and intermediate computational results. This expansion eliminates the need for external memory modules and simplifies hardware integration significantly.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCan this module operate on battery power, and what are the typical power consumption figures?\u003c\/summary\u003e\n\u003cp\u003eYes, the module can operate on battery power with optimized firmware. Typical power consumption is approximately 80-120mA during active image capture and WiFi transmission, and 10-20mA during sleep modes with timer-based wake-up. For battery-powered applications, use the timer functionality to capture images at intervals and enter deep sleep between captures, significantly extending operational time. A 5000mAh power bank can sustain approximately 40-50 hours of operation with 15-minute capture intervals. For extended deployments, solar charging or larger capacity batteries are recommended depending on capture frequency and transmission requirements.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eIs the module compatible with popular cloud platforms and IoT services?\u003c\/summary\u003e\n\u003cp\u003eYes, the ESP32 supports standard WiFi connectivity and can integrate with virtually any cloud platform accepting HTTP\/HTTPS requests or MQTT protocols. Popular integrations include AWS IoT Core, Google Cloud IoT, Azure IoT Hub, Blynk, ThingSpeak, and generic REST APIs. The module can be programmed to transmit captured images directly to cloud storage buckets, process them through edge computing services, or trigger automated workflows based on captured content. Local network streaming to NAS devices or personal servers is also fully supported through standard protocols like SFTP, FTP, or custom socket connections.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat programming languages and development environments are supported?\u003c\/summary\u003e\n\u003cp\u003eThe module supports three primary development approaches: UIFlow visual programming for rapid prototyping without coding, Arduino C\/C++ through the Arduino IDE with full ESP32 board support, and MicroPython through Thonny or the MicroPython REPL for interpreted development. All approaches provide complete access to camera control, timer functionality, WiFi, and PSRAM. UIFlow is ideal for beginners and rapid prototyping, Arduino is preferred for production deployments requiring optimized performance, and MicroPython suits researchers and educators preferring interpreted languages. Code examples and libraries are available in the M5Stack GitHub repository.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\u003cp\u003eOrders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eWe 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.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003ch2\u003eWhy\n\u003ch2\u003eBuy M5STACK ESP32 PSRAM Timer Camera Fisheye (OV3660) Online in India\u003c\/h2\u003e\n\u003c\/h2\u003e\u003cp\u003ePurchase the \u003cstrong\u003eM5STACK ESP32 PSRAM Timer Camera Fisheye (OV3660)\u003c\/strong\u003e online at \u003ca href=\"https:\/\/thetechdepot.in\"\u003eThe Tech Depot\u003c\/a\u003e, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eOur team in Bengaluru is available 24\/7 to support your journey from product selection to project completion.\u003c\/p\u003e","brand":"The Tech Depot","offers":[{"title":"Default Title","offer_id":48744383054081,"sku":"TTD-10914","price":2611.84,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0819\/1577\/3185\/files\/2ab3345a7c8191fea7f29d840f73ae22.jpg?v=1778072949","url":"https:\/\/techdepot.in\/products\/m5stack-esp32-psram-timer-camera-fisheye-ov3660","provider":"Tech Depot India","version":"1.0","type":"link"}