Our CTO (Luke Cole) previously worked for Hemisphere GPS (orginally called BEELINE, and now bought out by AgJunction) as a "Robotics Engineer" implementing auto-guidance solutions for various quadbikes and agriculture tractors that was used by 100's of vehicles around the world.

For 10 years, starting as a teenager in 1998 - Luke Cole has also worked for leading research institutes and companies such as NICTA (now called CSIRO Data61), CSIRO, Seeing Machines and ANU Robotics System Lab (lead by Alex Zelinsky, who received a rare prestigious AO award in 2017 and was Defence Scientist of Australia from 2012 for 6 years). Luke's work included various autonomous mobile robot projects, involving computer vision, and even a self-driving car early 2000's. Back then OpenCV and ROS didn't exist, so we did a "roll-your-own" called VisLib and DROS comprised of 364,578 lines of code.

Lance Cole has also worked at NICTA and has a background of various hardware development, such as working for a contract company to the US millary (EOS), building the Common Remotely Operated Weapon Station (CROWS).

COLETEK's team all has a background in computer vision and machine vision, which have built a wide range of skills and technologies such as:

These technologies can be used for various applications such as:

Some of our Computer Vision and Machine Vision Experience

Computer Vision & AI Systems for Businesses in Glen Oak, Lower Hunter Valley, New South Wales, Australia

At COLETEK, we empower businesses in Glen Oak and the Lower Hunter Valley with advanced computer vision and AI systems. Our team of experts has extensive experience in deploying vision-powered solutions across industries, from agriculture to manufacturing and surveillance. We understand the unique challenges faced by businesses in this region and are committed to delivering practical and impactful solutions.

Our services encompass every step of the process, from discovery and design decisions to prototyping, iteration, integration, testing, and production-readiness. We collaborate remotely with clients across Australia, leveraging cutting-edge technologies to deliver exceptional results. Our comprehensive approach ensures seamless integration of AI systems into your existing workflows.

We have successfully completed numerous projects involving camera-based inspection, object detection systems, AI-assisted monitoring, vision-enabled robotics, and edge inference systems. Our expertise spans camera integration, dataset preparation, model selection, edge deployment, inference pipelines, and system testing. We can tailor these services to address specific industry challenges and deployment practicality considerations.

Whether you need to optimize agricultural processes, enhance surveillance capabilities, or automate industrial tasks, COLETEK can provide tailored solutions. Our team has worked on projects where lighting, environment, and deployment considerations play a crucial role. We combine hardware, software, and AI seamlessly to deliver comprehensive and sustainable solutions.

Let us discuss how our Computer Vision & AI Systems can empower your business in Glen Oak and the Lower Hunter Valley. Contact us today to schedule a consultation and explore the possibilities.

Let’s build something remarkable together.

Contact Us

Computer Vision & AI Systems for Glen Oak – Our Clients: Big Brands & Small Businesses


Computer Vision & AI Systems for Glen Oak – Selected Client Testimonials

This is a sample of public feedback from a broader range of client work.

Intuitive, innovative & efficient are three words that would appropriately describe the COLETEK service. Luke and the team at COLETEK have taken our concepts to the next level.

COLETEK have provided one to one communication throughout the development process and gone above and beyond in bringing our ideas closer to becoming a reality! Luke's expertise and knowledge with computer software and electronics is Jedi like, but what I liked most about working with him was his willingness and ability to think outside of the box.