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
MonoScene: Monocular 3D Semantic Scene Completion

MonoScene: Monocular 3D Semantic Scene Completion MonoScene: Monocular 3D Semantic Scene Completion] [arXiv + supp] | [Project page] Anh-Quan Cao, Rao

298 Jan 08, 2023
Code release for NeX: Real-time View Synthesis with Neural Basis Expansion

NeX: Real-time View Synthesis with Neural Basis Expansion Project Page | Video | Paper | COLAB | Shiny Dataset We present NeX, a new approach to novel

536 Dec 20, 2022
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron,

Pratul Srinivasan 65 Dec 14, 2022
Patch SVDD for Image anomaly detection

Patch SVDD Patch SVDD for Image anomaly detection. Paper: https://arxiv.org/abs/2006.16067 (published in ACCV 2020). Original Code : https://github.co

Hong-Jeongmin 0 Dec 03, 2021
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

UNet++: A Nested U-Net Architecture for Medical Image Segmentation UNet++ is a new general purpose image segmentation architecture for more accurate i

Zongwei Zhou 1.8k Jan 07, 2023
Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

Deformable Attention Implementation of Deformable Attention from this paper in Pytorch, which appears to be an improvement to what was proposed in DET

Phil Wang 128 Dec 24, 2022
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Near-Duplicate Video Retrieval with Deep Metric Learning This repository contains the Tensorflow implementation of the paper Near-Duplicate Video Retr

Liming Jiang 238 Nov 25, 2022
Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm

About The Project Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm (Random Sample Consensus). Author: Andreas P

Andreas Panayiotou 3 Jan 03, 2023
[3DV 2021] A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks

dispersion-score Official implementation of 3DV 2021 Paper A Dataset-dispersion Perspective on Reconstruction versus Recognition in Single-view 3D Rec

Yefan 7 May 28, 2022
This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.

Prescribed-time Control Prescribed-time control (PTC) blocks in Simulink environment, MATLAB R2020b. For more theoretical details, refer to the papers

Amir Shakouri 1 Mar 11, 2022
Optimizers-visualized - Visualization of different optimizers on local minimas and saddle points.

Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions

Gautam J 1 Jan 01, 2022
A working implementation of the Categorical DQN (Distributional RL).

Categorical DQN. Implementation of the Categorical DQN as described in A distributional Perspective on Reinforcement Learning. Thanks to @tudor-berari

Florin Gogianu 98 Sep 20, 2022
The audio-video synchronization of MKV Container Format is exploited to achieve data hiding

The audio-video synchronization of MKV Container Format is exploited to achieve data hiding, where the hidden data can be utilized for various management purposes, including hyper-linking, annotation

Maxim Zaika 1 Nov 17, 2021
DTCN IJCAI - Sequential prediction learning framework and algorithm

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

Bobby 2 Jan 24, 2022
Pytorch implementation of Implicit Behavior Cloning.

Implicit Behavior Cloning - PyTorch (wip) Pytorch implementation of Implicit Behavior Cloning. Install conda create -n ibc python=3.8 pip install -r r

Kevin Zakka 49 Dec 25, 2022
Painting app using Python machine learning and vision technology.

AI Painting App We are making an app that will track our hand and helps us to draw from that. We will be using the advance knowledge of Machine Learni

Badsha Laskar 3 Oct 03, 2022
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.

Demonstration of OpenVINO techniques - Model-division and a simplest-way to support custom layers Description: Model Optimizer in Intel(r) OpenVINO(tm

Yasunori Shimura 12 Nov 09, 2022
The codebase for Data-driven general-purpose voice activity detection.

Data driven GPVAD Repository for the work in TASLP 2021 Voice activity detection in the wild: A data-driven approach using teacher-student training. S

Heinrich Dinkel 75 Nov 27, 2022
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python

Digital Image Processing Python MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python TO-DO: Refactor scripts, curren

Merve Noyan 24 Oct 16, 2022
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach

EV-charging-impact This repository contains the code that has been used for the Queue modelling for the paper "How will electric vehicles affect traff

7 Nov 30, 2022