Grants and Contributions

Super resolution involves synthetically increasing the resolution of gridded data beyond their native resolution. Typically, this is done using interpolation schemes (linear, non-linear), which estimate sub-grid-scale values from neighbouring data, and perform the same operation everywhere regardless of the large-scale context, or by requiring a network of radars with overlapping fields of view. Conceptually, a neural network may be able to learn relations between large-scale reflectance features and the associated sub-pixel-scale variability and outperform interpolation schemes. The project aims to use data fusion (various sources) to provide for super resolution of RADAR and multi-spectral data.

The D-BOX experience offered for over 15 years consists of creating specific haptic tracks for each of the supported titles. The project is to implement all products and services to extend the D-BOX haptic experience to any content and multiple third-party devices in order to expand the target audience.

Development of a smart plug to allow customers to automatically capture critical electrical usage data for high asset value devices. This data will provide improved asset management and predictive maintenance.

Start-up of a pilot plant for electronic waste recycling

Optimize/ Enhance ISOTECH Cooling Tower/ Chiller 2”, 3”, 4” and 5” deflection Housed Spring Vibration Isolation and prepare BOM, fabrication drawings for all capacities from 100 lbs to 9000 lbs

OPASS software suite will facilitate pilot-friendly Autonomous Underwater Vehicle guidance/navigation simulator useful for pilot training, mission planning and mission completion. This simulator will be a significant step forward in terms of providing mission specialists with the capacity to deploy their AUVs with a much greater degree of
confidence and cost efficiency in achieving ocean research mission objectives. Featuring rich environmental data displays, it will accurately simulate at-sea conditions without vehicle risk.

The research and development work considered within this project is still directly related to early stage R&D feasibility to determine if real time environmental data can be synthesized into finite blocks of software code and then combined with instructional navigation coding in a manner that facilities an accurate simulation tool.

Development of in-house capability for rubber mixing and material production by upgrading an exiting rubber mixing mill utilizing PLC and electric controls to automate the mixing process, improve operator safety and integrate it into current manufacturing line.

The project aims to develop the market strategy for two new market segments contemplated for the next few years, among other things, to confirm the value proposition for these two different segments.

Develop lightweight aluminum or aluminum/steel personnel carriers for the mining industry that can perform to ISO3471 and ISO3449 standards on all brands of pickup trucks. The industry standard has been to use Toyota Landcruiser diesel trucks underground, but with the introduction of affordable electric trucks such as the Ford Lightening, there may be a move to other platforms as electrification becomes more common. TopROPS would like to start designing options for these vehicles before mines begin to deploy them so that we can offer a mature solution. These trucks present additional challenges over their diesel counterparts due to the weight of the batteries increasing the GVW. Increased GVW also increased the performance requirements

This project will develop a multiple bio signal monitoring and near-real time reporting platform for use with Bluetooth connected devices under both medical and consumer use cases by people at home and on the move. Daily and aggregate reporting will be part of the platform.