AquaTimer - Programmable Timer for Aquariums based on ATtiny414/814/1614

Overview

AquaTimer - Programmable Timer for Aquariums based on ATtiny414/814/1614

AquaTimer is a programmable timer for 12V devices such as lighting, solenoid valves or pumps not only for aquariums. It has three switchable channels for currents up to 2A each and up to 5A in total. Connected lighting can be dimmed if desired and slowly faded in and out to simulate sunrises and sunsets. The internal RTC of the ATtiny is used as a clockwork in conjunction with a 32.768kHz crystal. A backup battery keeps the clock running even if the external power supply is interrupted. Settings are made using three buttons and the OLED display.

pic1.jpg

Compiling and Uploading the Firmware

If using the Arduino IDE

  • Open your Arduino IDE.
  • Make sure you have installed megaTinyCore.
  • Go to Tools -> Board -> megaTinyCore and select ATtiny1614/1604/814/804/414/404/214/204.
  • Go to Tools and choose the following board options:
    • Chip: ATtiny1614 or ATtiny814 or ATtiny414
    • Clock: 5 MHz internal
    • Leave the rest at the default settings.
  • Connect your programmer to your PC and to the UPDI header on the board.
  • Go to Tools -> Programmer and select your UPDI programmer.
  • Go to Tools -> Burn Bootloader to burn the fuses.
  • Open the sketch and click Upload.

If using the makefile (Linux/Mac)

  • Connect your programmer (jtag2updi or SerialUPDI) to your PC and to the UPDI header on the board.
  • Download AVR 8-bit Toolchain and extract the sub-folders (avr, bin, include, ...) to /software/tools/avr-gcc. To do this, you have to register for free with Microchip on the download site.
  • Open the makefile and set the programmer and port (default is serialupdi on /dev/ttyUSB0).
  • Open a terminal.
  • Navigate to the folder with the makefile and the sketch.
  • Run "make install" to compile, burn the fuses and upload the firmware.

The device time is automatically set to the current time (compilation time) when the firmware is uploaded. Install the CR1220, CR1225 or LIR1220 (recommended) buffer battery before disconnecting the device.

Operating Instructions

  1. Connect the devices to be controlled to the AquaTimer using the screw terminals. Pay attention to the correct polarity!
  2. Connect the AquaTimer to a 12V power supply via the DC barrel connector.
  3. Press the "SET" button to get to the main menu. Adjust the values according to your wishes.

References, Links and Notes

  1. ATtiny814 Datasheet

pic2.jpg pic3.png pic4.jpg

License

license.png

This work is licensed under Creative Commons Attribution-ShareAlike 3.0 Unported License. (http://creativecommons.org/licenses/by-sa/3.0/)

Owner
Stefan Wagner
Stefan Wagner
PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

End-to-End Coreference Resolution with Different Higher-Order Inference Methods This repository contains the implementation of the paper: Revealing th

Liyan 52 Jan 04, 2023
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Aboleth A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation [1] with stochastic gradient variational Bayes

Gradient Institute 127 Dec 12, 2022
JAXDL: JAX (Flax) Deep Learning Library

JAXDL: JAX (Flax) Deep Learning Library Simple and clean JAX/Flax deep learning algorithm implementations: Soft-Actor-Critic (arXiv:1812.05905) Transf

Patrick Hart 4 Nov 27, 2022
Official Pytorch implementation for "End2End Occluded Face Recognition by Masking Corrupted Features, TPAMI 2021"

End2End Occluded Face Recognition by Masking Corrupted Features This is the Pytorch implementation of our TPAMI 2021 paper End2End Occluded Face Recog

Haibo Qiu 25 Oct 31, 2022
Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling

Imbalanced Continual Learning with Partioning Reservoir Sampling This repository contains the official PyTorch implementation and the dataset for our

Chris Dongjoo Kim 40 Sep 18, 2022
Changing the Mind of Transformers for Topically-Controllable Language Generation

We will first introduce the how to run the IPython notebook demo by downloading our pretrained models. Then, we will introduce how to run our training and evaluation code.

IESL 20 Dec 06, 2022
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

GFNet-Pytorch (NeurIPS 2020) This repo contains the official code and pre-trained models for the glance and focus network (GFNet). Glance and Focus: a

Rainforest Wang 169 Oct 28, 2022
A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks

PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the

Zhanghan Ke 255 Dec 11, 2022
Python version of the amazing Reaction Mechanism Generator (RMG).

Reaction Mechanism Generator (RMG) Description This repository contains the Python version of Reaction Mechanism Generator (RMG), a tool for automatic

Reaction Mechanism Generator 284 Dec 27, 2022
FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization

FuseDream This repo contains code for our paper (paper link): FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimizat

XCL 191 Dec 31, 2022
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Random Erasing Data Augmentation =============================================================== black white random This code has the source code for

Zhun Zhong 654 Dec 26, 2022
MagFace: A Universal Representation for Face Recognition and Quality Assessment

MagFace MagFace: A Universal Representation for Face Recognition and Quality Assessment in IEEE Conference on Computer Vision and Pattern Recognition

Qiang Meng 523 Jan 05, 2023
SimpleDepthEstimation - An unified codebase for NN-based monocular depth estimation methods

SimpleDepthEstimation Introduction This is an unified codebase for NN-based monocular depth estimation methods, the framework is based on detectron2 (

8 Dec 13, 2022
Bu repo SAHI uygulamasını mantığını öğreniyoruz.

SAHI-Learn: SAHI'den Beraber Kodlamak İster Misiniz Herkese merhabalar ben Kadir Nar. SAHI kütüphanesine gönüllü geliştiriciyim. Bu repo SAHI kütüphan

Kadir Nar 11 Aug 22, 2022
🕵 Artificial Intelligence for social control of public administration

Non-tech crash course into Operação Serenata de Amor Tech crash course into Operação Serenata de Amor Contributing with code and tech skills Supportin

Open Knowledge Brasil - Rede pelo Conhecimento Livre 4.4k Dec 31, 2022
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Kim Seonghyeon 2.2k Jan 01, 2023
Reimplementation of Dynamic Multi-scale filters for Semantic Segmentation.

Paddle implementation of Dynamic Multi-scale filters for Semantic Segmentation.

Hongqiang.Wang 2 Nov 01, 2021
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (CIKM'17)

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation This is the implementation of RATE: Overcoming Noise and Spar

Yu Zhang 5 Feb 10, 2022
Edge Restoration Quality Assessment

ERQA - Edge Restoration Quality Assessment ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR

MSU Video Group 27 Dec 17, 2022
Jremesh-tools - Blender addon for quad remeshing

JRemesh Tools Blender 2.8 - 3.x addon for quad remeshing. Currently it is a wrap

Jayanam 89 Dec 30, 2022