Implementation of a Machine Vision-based System for the Recognition of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.

Development of a numerical wave uprush prediction tool for the Cataraqui Region Conservation Authority Lake Ontario and St. Lawrence River shoreline – Phase 2

Wave uprush and the potential for flooding are natural hazards that must be determined by the Cataraqui Region Conservation Authority (CRCA) prior to the approval of a near-shore development. The purpose of calculating wave uprush is to recommend building sites that are outside of the wave uprush area (and floodplain in general) to land owners and municipalities, as well as provide information for flood proofing of existing buildings, roadways, etc. The CRCA has manually calculated wave uprush at 200 sites along the more than 200 km of shoreline in eastern Lake Ontario and the St.

Spatial and Temporal Linear Induction Motor Harmonics

Linear Induction Motors (LIMs) are used in a significant portion of existing rail transport systems, and Bombardier Transport Canada Inc. is a global leader in the industry. LIMs will be ever more important in the future with the expansion of Maglevs globally. In this project, the intern will explore the mathematical models used in designing LIMs. The main objective will be improving the mathematical treatment in order to increase the efficiency of LIMs and eliminate or minimize undesirable effects such as overheating.

Torsional Effects on Structural Self-Tapping Screws in Canadian Douglas Fir

With a growing concern to reduce carbon emissions, timber construction has is experiences a rebirth in Canada and abroad. The availably of engineered wood products, innovations in manufacturing, and changes in the building codes are some incentives for timber becoming a materials choice. Connecting these large timber members is done efficiently with the help of structural self-tapping screws. These steel screws, developed in Europe, are capable withstanding relatively high loads due to their unique design.

Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach to identify the pixels that belong to the teeth-line in each video frame taken by camera located on the mining device.

Development of colony-specific genetic markers for murres hunted off Newfoundland and Labrador

Thick-billed murres from breeding colonies throughout the North Atlantic, and common murres from colonies throughout the northwest Atlantic winter off Newfoundland, Labrador and Greenland where they are the object of an annual hunt. The winter murre or ‘turr’ hunt is an important part of the culture of coastal communities, and is protected under Canadian legislation. The colony of origin of hunted murres is unknown, although it is necessary to assess the impact of the hunt on specific colonies. The hunt could target colonies that are suffering great declines.

Validation of a Machine Vision-based System for the Recognition of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.

3-D UAV Magnetometry for Improved Target Characterization in Mineral Exploration

Geophysical exploration is one of the primary forms of preliminary site investigation used to characterize ore potential and the economic viability of newly discovered mineral deposits. The current platforms for collecting magnetic data include dense coverage but low resolution airborne surveys and high resolution but low coverage terrestrial surveys. The recent
proliferation of Unmanned Aerial Vehicles (UAV) offers an opportunity to fill the observation gap inherent in conventional
survey methods.

Gearbox fault detection and failure prediction

The objective of the project is to develop an automated monitoring system to accurately and reliably detect deterioration within gearboxes operating on an industrial forming line. This will involve reviewing, developing and testing one or more methodologies based on vibration signal measurement and analysis. In particular the work will focus on exploring existing potential methods, defining the capabilities of different sensors that could be used in the given environment and developing appropriate vibration signal analysis algorithms for gearbox deterioration detection and decision making.

Role of Dissolved Oxygen Concentration on Gold Recovery from Sulphide Ores via Cyanidation and Thiosulphate Leaching Processes

The proposed research project pertains to the analysis and understanding of the role of oxygen in gold extraction and recovery process. Currently most gold mining operations apply air in their gold recovery process, but there are some data showing that the gold recovery with air application is not efficient. It is believed that the use of oxygen gas would result in higher gold recovery and ultimately lower costs. Also we believe the application of oxygen gas instead of air would minimize or eliminate the need for addition of lead nitrate into the gold recovery process solutions.

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