Spark Intelligence
PROJECTS
Designing and developing devices with you in mind. We assess your organization's technological device(s) needs that will improve its effectiveness, and we tailor electronic technologies that provide these improvements.
Kashi Ashram, Integrating an AI camera with a digital voice/sound recorder module.
Kashi Ashram is a non-profit organization based in Sebastian, FL. The need was to provide an easy to carry tour guide device that did not depend on wireless communication to function and used headphones. There was no need for a Bluetooth or Wi-Fi connection. As the tourist explores the temples at the ashram, the artificial intelligence camera identifies the April tags (QR codes) and the device presents the appropriate voice (with optional music) recording(s) to the tourist. The voice recording(s) can be very easily changed. Currently, it describes the information that the ashram shares with the tourist. It can be used in scavenger hunts as well. There is no need for the device user to do anything, but switch on the device and carry it!
Spark Intelligence, Research and Development
A graduate student being a designer and a programmer.
The goal was to design and build a real mobile manipulator robot that would be able to autonomously pick up an object and navigate to a specific location to place the object. The thesis was titled "Design and Implementation of a Mobility and Accessibility Enhancement Robotic System for Human Assistance". The mobile manipulator robot was named JOHNN-E-B, which is an acronym for joint operation human needs next-evolution-bot. This research mobile manipulator robot is very easily modifiable, it is very easily scalable, and it is relatively cheap (up to $1,000), which makes it very accessible to research students. This challenge was successfully completed and the graduate degree was awarded in the Spring of 2023!
Spark Intelligence, Project
Autonomous Robot Navigation Using Infrared Sensors with a Bug-Type Algorithm
BOE Shield-Bot for Arduino Using Infrared (IR) Transmitters and Receivers for Obstacle Avoidance: A novel approach was implemented to enhance the memory utilization of the Arduino Uno microcontroller. The robot successfully avoided touching walls and successfully maneuvered around an obstacle, which was the only obstruction along the path, while navigating to its destination.
Spark Intelligence, Research and Development
Controlling the Tinkerkit Braccio Robotic Arm with the Arduino Uno Wi-Fi Rev2 Microcontroller and Using a Novel Infrared Transmitter-Receiver Signaling Setup for Interfacing the HiLetgo OV7670 Camera controlled by the Arduino Uno Rev3 Microcontroller
Abstract—The goal of this project was to automate a set of pick-and-place procedures using a Tinkerkit Braccio robot that was controlled by an Arduino Uno Wi-Fi Rev2 microcontroller/board. An Arduino Uno Rev3 microcontroller/board was used to obtain visual data from a HiLetgo OV7670 camera, and that data was used to manipulate the Braccio robot’s set of pick-and-place procedures. A novel approach to interfacing the Arduino Uno Wi-Fi Rev2 board with the Arduino Uno Rev3 board was achieved using an infrared transmitter and an infrared receiver. Tapping the infrared transmitter into the camera circuitry was an instrumental part of this novel approach. The Arduino Integrated Development Environment (IDE) was used with the ‘C’ high level programming language in programming both of the microcontrollers. The Arduino Wi-Fi feature was used to start the pick-and-place run cycle and to put the Braccio robot into standby mode after the IDE serial monitor acquired the base angle rotation values.
