HM01B0 QVGA Monochrome DVP Camera Module for Arduino GIGA R1 WiFi Board
Low light sensitive, ultralow power consumption, simple interface, compatibility with Arduino libraries, suitable for battery-powered and energy-efficient applications.
Overview
This camera is based on HM01B0 QVGA monochrome rolling shutter image sensor. The sensor is an Ultra Low Power Image Sensor designed for Always-on vision devices and applications. With high light sensitivity and on-chip self oscillator, you can get better image quality under diifferent light conditions.
The low power consumption camera module is equipped with a 60°(D) stock Lens. It supports RAW6/8 output format. The standrad operating temperature is between -30~85℃, with the stable Image temp. between 0~50℃.
It is fully compatible with Arduino GIGA R1 WiFi board, a professional-grade microcontroller development board recently launched by Arduino. Seamlessly integrates with our camera module, unlocking versatile image capture and processing capabilities. Harness the power of Arduino GIGA R1 WiFi and gain a competitive edge in your projects.
Features:
- Cost-Effective: Affordable solution for implementing visual capabilities in cost-sensitive projects.
- Compact Size: Compact form factor enables integration into space-constrained applications.
- Simplify Embedded Vision for All: Easy to set up and operate. Making it possible to add machine vision to your GIGA R1 board without much effort at all.
- High Sensitivity: High low-light sensitivity 3.6µ BrightSenseTM pixel technology. With on-chip self oscillator.
- Ultralow Power Consumption: Efficient power usage, making it suitable for battery-powered and energy-efficient applications.
Tech specs
Image Sensor | HM01B0 |
Resolution | QVGA |
Optical Size | 1/11” |
Number of effective pixels | 320(H) × 320(V) |
Pixel Size | 3.6μm × 3.6μm |
Support Platform | Arduino GIGA R1 WiFi Board |
Shutter Type | Electronic Rolling Shutter |
Color Filter Array | Monochrome |
Frame Rate | 320×240/160×120@30fps |
Output Format | RAW8 |
F.NO | 2.8±5% |
Focus Type | Fixed Focus |
Focal Length | 1.47mm |
Field of View(FOV) | 60°(D) |
Power Supply | AVDD: 2.8V; DOVDD: 1.8V; DVDD: 1.5V |
Operating Temperature | -30~85℃ |
Camera Board Size | 30.5mm x 30.5mm |
Documentation
Get Inspired
As Jallson Suryo discusses in his project, adding voice controls to our appliances typically involves an internet connection and a smart assistant device such as Amazon Alexa or Google Assistant. This means extra latency, security concerns, and increased expenses due to the additional hardware and bandwidth requirements. This is why he created a prototype based on an Arduino Nicla Voice that can provide power for up to four outlets using just a voice command. Suryo gathered a dataset by repeating the words “one," “two," “three," “four," “on," and “off” into his phone and then uploaded the recordings to an Edge Impulse project. From here, he split the files into individual words before rebalancing his dataset to ensure each label was equally represented. The classifier model was trained for keyword spotting and used Syntiant NDP120-optimal settings for voice to yield an accuracy of around 80%. Apart from the Nicla Voice, Suryo incorporated a Pro Micro board to handle switching the bank of relays on or off. When the Nicla Voice detects the relay number, such as “one” or “three," it then waits until the follow-up “on” or “off” keyword is detected. With both the number and state now known, it sends an I2C transmission to the accompanying Pro Micro which decodes the command and switches the correct relay. To see more about this voice-controlled power strip, be sure to check out Suryo’s Edge Impulse tutorial.