Hardware

Hardware Resources

The Srivastava Senior Design Lab has a wide variety of hardware available for use in projects, including microcontrollers, DSP boards, LINX RF transmitters and receivers, GPS units, webcams and more. These things can all be checked out from you TA for use on your project. See below for more details, and check out the links above.

Development Boards

Intel Galileo Development Boards

The lab has 25 Intel Galileo Development Boards available for checkout. The following links are useful resources for working with these boards:

Microcontrollers

PIC Microcontrollers

The lab has a number of PIC16F877A microcontrollers available for use in projects. It is understandable that wiring errors might happen, so each student is allowed to burn out a maximum of two PICs. They are programmed in a simplified C instruction set and are used to simplify design and perform IO with ease. Check the PIC Tutorial for more information.

BASIC Stamp Microcontrollers

The BASIC Stamp is a simple, tiny microcontroller with serial communications abilities, programmed in BASIC. This makes it ideal for simple applications where I/O speed is not critical, and the complexity of the HC12 is not needed.

DSPs

TI TMS320C54x DSPs

We have several C54x DSPs available for checkout (if demand is high, sharing a DSP with another group may be needed). Check out these resources for more information:

TI TMS320C6713 DSP

We have one TMS320C6713 (16 Mb) Floating Point DSP that was graciously donated by TI. The board is in the TA cabinet and is available for checkout.

LINX RF modules

We have a number of LINX transmitters and receivers available in the lab for RF projects, with a choice of the LC Series (315 or 418 MHz) or the HP series (902-928 MHz band).

GPS kits

We have 2-3 Garmin 12 XL GPS receivers. The Garmin units are equipped with a serial communication port and can be interfaced with microcontrollers or computers to provide information on position (lat, long, altitude, time) and velocity (differentiation of position). We also have one equivalent Motorola kit, and another kit by Ashtech (Eval and development kit, 990285). There are antennas on the roof of EL with wires into the lab so that data can be acquired while in the building (for testing purposes). The antennas can be accessed through connectors in the back left corner of the lab, by the far computer.

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Jeric Cuasay, Emily Grob, Rahul Kajjam

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Featured Project

# Backpack Buddy

Team Members:

- Student 1 (cuasay2)

- Student 2 (rkajjam2)

- Student 3 (eegrob2)

# Problem

The UIUC campus is relatively a safe place. We have emergency buttons throughout campus and security personnel available regularly. However, crime still occurs and affects students walking alone, especially at night. Staying up late at night working in a classroom or other building can lead to a long scary walk home. Especially when the weather is colder, the streets are generally less populated and walking home at night can feel more dangerous due to the isolation.

# Solution

A wearable system that uses night vision camera sensor and machine learning/intelligence image processing techniques to detect pedestrians approaching the user at an abnormal speed or angle that may be out of sight. The system would vibrate to alert them to look around and check their surroundings.

# Solution Components

## Subsystem 1 - Processing

Processing

Broadcom BCM2711 SoC with a 64-bit quad-core ARM Cortex-A72 processor or potentially an internal microprocessor such as the LPC15xx series for image processing and voltage step-down to various sensors and actuators

## Subsystem 2 - Power

Power

Converts external battery power to required voltage demands of on-system chips

## Subsystem 3 - Sensors

Sensors

Camera - Night Vision Camera Adjustable-Focus Module 5MP OV5647 to detect objects in the dark

Proximity sensor - detects obstacle distance before turning camera on, potentially ultrasonic or passive infrared sensors such as the HC-SR04

Haptic feedback - Vibrating Mini Motor Disc [ADA1201] to alert user something was identified

# Criterion For Success

The Backpack Buddy will provide an image based solution for identifying any imposing figure within the user's blind spots to help ensure the safety of our user. Our solution is unique as there currently no wearable visual monitoring solutions for night-time safety.

potential stuff:

Potentially: GNSS for location tracking, light sensor for outdoors identification, and heartbeat for user stress levels

camera stabilization

heat camera

Project Videos