MAPIZY | Better Insights Better Decisions

Infrastructure

Effective management of infrastructures requires current and reliable data about their physical attributes and conditions. Leveraging multi-source image data, AI and cloud computing, we provide current data and change insight about various types of infrastructures ranging from road networks and buildings through to energy assets and supply chain.

Our computer vision solutions were used to:

Assess road surface condition in mobile mapping images
Detect and measure road safety features in both aerial and satellite images
Automatically identify vegetation encroachment to power lines
Identify water leaks and blockages with satellite images

Agriculture

A detailed and current inventory of natural resources is the basis for informed management decision making. Mapizy provides forestry and agriculture businesses with HD analytics helping them to optimise fertiliser and herbicide usage, reduce carbon emissions and increase profitability.

Leverage our solutions to:

Generate commercial and urban forest inventory, detect deforestation
Identify and count fish species, automatically measure fish length in underwater stereo videos
Detect weed and crop disease, estimate soil carbon
Quantify plant lifeforms, classify land use and monitor changes happening over time

What is so fascinating about what Mapizy is doing is that they empower organisations with cutting edge computer vision solutions. They helped us to adopt the powerful AI for optimising pest control in the grain industry at no risk.

John Moore, Senior Research Officer, DPIRD

Mining and Energy

AI and big earth observation data has created new opportunities for the mining industry. Use our analytics platform to create geospatial analytics and change data about natural features, man-made structures, mining equipment etc. for remote areas at the comfort of your office.

Our solutions empower mining companies to:

Access accurate and current geospatial data leading to improved operational efficiency
Monitor carbon footprints on a more regular basis, identify carbon sources and sinks
Detect mineral deposits over large areas using multi-source datasets
Remotely track mine rehab parameters, quantify environmental impact

Defence

Our integrated training data collection platform coupled with deep learning workflows provide the defence sector with interesting use cases ranging from quick mobility assessment, low-cost object detection models through to off-nadir image analysis, anomaly detection and multi-source image data fusion.

Laverage our cutting-edge technology to:

Create smarter geospatial intelligence quickly through an optimized AI workflow
Detect malicious modification of aerial and radar images
Quantify changes to the built and natural environment at scale

We were involved in a global infrastructure project and Mapizy technology and support was instrumental to quantify changes and measure the project impact. Rapid delivery and detail analytics they offered was second to none.

Jeff Elliott, Managing Director, CSA Global

Custom Solutions

We have worked with clients across industries to build computer vision software solutions that help them solve difficult challenges and achieve their business objectives.

The following list illustrates some of use cases we’ve developed:

Mine rehab monitoring through satellite images
Aerial triangulation of satellite images for 3D data generation
Quantification of hay quality in smartphone images
Cotton disease detection in drone images
Snail and slug counting and measurement in terrestrial images and videos
Skeleton weed detection in drone images
Building footprint change detection in aerial images
Tree flower counting in smartphone images for optimised honey production
Natural and sandalwood trees recognition

Mapizy team with deep expertise in artificial intelligence helped us to create advanced geospatial analytics about trees and their flowers. This information was critical to make informed decisions in honey production.

Liz Barbour, CEO, CRC for Honey Bee Products

How it works

1. Project Requirement

Provide project area, analytics type and your own data if available.

2. Deep Learning Processing

We source the right data and apply customised processing workflows.

3. Geospatial Analytics

Maps, statistical information and geospatial analysis will be provided.