Description

The ecoEye camera is a low-power, portable camera with a waterproof housing, designed to protect and support the OpenMV Cam H7 Plus module for on-board machine vision. Powered by three rechargeable lithium-ion batteries, it also has an intelligent power management module that ensures continuous power supply and allows for system deep sleep through an integrated real-time clock and soft latch circuit. The user can control this function through an external push button. Recharging and data exchange can be conveniently done through the external USB-C connector. Additionally, the camera features a multi-pin connector that supports an 18V solar panel, I2C and analog sensors, and various other external devices, making it ideal for long-term usage and multi-sensor data integration.

The EcoEye housing is specially designed to fit all components and offers additional room for expansion boards and shields. It comes with waterproof seals and a secure latch for the door, making it ideal for outdoor use in rainy and harsh weather conditions. The camera can be effortlessly attached to a regular tripod using four threads in every direction. The front of the housing features an image sensor lens, two IR LEDs for nighttime visibility, an RGB LED indicator, a clear window for light shield expansions on the OpenMV board, and external connectors with a power switch. The lens is shielded from sun glare and water droplets, and the well-crafted cap structures prevent water accumulation when the camera is positioned facing upwards.

The openMV IDE allows for programming of the camera using either provided or custom Python code. With a simple interface and real-time image frame buffer, you can easily write, run, debug, and set up the camera. The provided script code simplifies the configuration process for different monitoring applications, making it accessible to users without extensive knowledge of micropython or board functions. Users can adjust basic parameters while most other settings are handled automatically in the background.

Feature

• High-performance Cortex-M7 MCU and 5MP image sensor
• Automatic power management with low-power mode, power switch, real-time, USB/solar charging, and sensor integration capability
• Waterproof housing designed for portability, compactness, and flexible mounting for discrete outdoor deployments
• Easy-to-use application setup with fully integrated micro python code on the OpenMV IDE

Specification

Specification	Details
MCU	STM32H743IIK6
Flash	2MB internal 32MB external
RAM	32MB SDRAM 1MB SRAM
Camera	OV5640 (2592x1944)
Image format	RGB565/Grayscale
Frame rate	Up to 50fps at low resolution
Data transmission mode	USB type-C (12Mbs)
Image analysis methods	Frame differencing (motion detection), Image classification, Objects classification
Software support	Micropython on OpenMV IDE
Buttons	1 x Multi-function power switch 1 x battery boot button
Memory Card support	Micro-SD Card (100Mbs)
Power supply	2.8V-4.2V Lithium-ion batteries (internal), 5V USB (external), 12V PV (external)
Charging current	2.65A through USB, 2A through solar
Active current	350mA @ 3.7V
Sleep mode current (with RTC)	200uA @ 3.7V
Battery	3 x 18650 rechargeable lithium-ion batteries (Batteries are not included in the package and must be purchased by yourself)
Battery capacity	Up to 10200 mAh
Protection	ESD, USB, battery, solar
Dimensions (L*W*H)	85*96*99mm
Weight	280.4g (no batteries), 417.9g (3 batteries)
Operating Temperature	-20°C to 70°C
Certifications	RoHS, FCC, CE

Applications

• Ecosystem service (Pollination, Pest Control) monitoring
• Biodiversity monitoring
• Conservation management
• Phenology camera
• Environmental education
• Continuous image capture
• Motion detection
• Blob classification
• Image classification
• Objects classification
• Region-of-interest classification

 

Hardware Overview