Author: Joseph

Online shopping is a way of life of many of us and we simply take for granted the easiness of ordering and receiving our wish list. A critical part of this cycle is warehouse inventory management. Keeping track of what and where is a highly dynamic environment is a significant joggling task. Currently, most warehouses require workers to walk the aisle and scan all the pallets for a cycle count or physical inventory of materials. This is a time-consuming process and not very robust. Automation is likely more efficient and reduces human error. By utilizing a drone embedded with the facility layout with cameras and barcode imagers, the drone can go up and down the isles and high up into the rafters scanning all the pallets in each part of the warehouse…

For more information check out the project poster:
Barcoding Warehouse Tracking

There has been an age-old debate between radio-frequency (i.e. radar) versus optical (camera, lidar) sensing. The excitement on this debate has significantly increased in recent years because of the autonomous application space as well as physical security. There is an ever-greater demand for better sensor data to support higher identification and discrimination/classification with acceptable confidence levels. The main advantages of RF sensors over optical are: the “all-weather” capability, the lack of a privacy issue, and large FOV. They can also provide velocity and distance.

For more information check out the project poster:
NGC Radar Project

Course Syllabus is up on Blackboard.

LINDT Course Syllabus – 2018 Fall

There is significant health risk associated with food allergies. Unfortunately, that issue has become more common in recent times and there is an urgent need for a consumer device that can scan and detect allergenic foods such as peanuts, lactose, and gluten to name a few. Although the need is age old, until recently there was no viable technology to enable a low cost, size, weight, and power solution. However, recent developments in imaging and processing technologies are showing a promising path towards such a solution. In particular, multi- and hyper-spectral imaging has shown the ability to detect and classify various chemical markers.

For more information check out the poster:
Textron Systems Allergy Detection

Low-level light therapy consists of lasers or light emitting diodes at near-infrared wavelengths. At the status quo, LLLT devices are marketed as skin wound therapy, hair growth, and pain relief devices. It emits near-infrared light around 780nm near the surface of a skin where mitochondrial chromophores absorb photons. This causes a chain reaction of electron transport and ATP nitric oxide release, leading to signaling pathways. Ultimately signaling pathways activate stem cells leading to tissue repair and prevention of cell suicide.

For more information check out the poster:
Low-level Light Therapy

Sepsis is a life-threatening condition that arises when the body’s response to an infection. It can rapidly cause tissue damage, organ failure and death. This project involves designing hardware or software tools that can help users conduct early diagnosis for their probability of Sepsis infection based on their inputs and also can offer them some advice, or to help patients keep tracking of their Sepsis treatment and symptoms by collecting data in different phase of the treatment to help improving their health condition.

For more information check out the poster:
Sepsis Here We Come