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 The Marra, Central West Slopes, New South Wales, Australia

At COLETEK, we empower businesses in The Marra with advanced computer vision and AI systems. Our team of experts has extensive experience in camera integration, dataset preparation, model selection, edge deployment, and inference pipelines. We understand the unique challenges faced by businesses in industries such as agriculture, industrial sites, surveillance, and field use, where lighting, environment, and deployment practicality are crucial considerations.

We collaborate closely with clients from discovery through design decisions, prototyping, iteration, integration, testing, and production-readiness. Our approach is tailored to each project's specific needs, ensuring seamless integration of hardware, software, and AI into your workflows. We also offer Australia-wide support, ensuring ongoing success and optimization of your systems over time.

Our portfolio includes successful projects where computer vision and AI have transformed businesses in The Marra. We have helped clients enhance product quality, optimize processes, and gain valuable insights from their operations. Our clients benefit from improved efficiency, productivity, and competitive advantage through our innovative solutions.

We are driven by a passion for technology and a desire to empower businesses with solutions that solve real-world problems. Our team has contributed to groundbreaking research at leading institutions like ANU, CSIRO, and NICTA/Data61. With over 150 R&D and product development projects completed, we have a proven track record of delivering impactful solutions across industries.

Let us discuss how COLETEK can help your business in The Marra harness the power of computer vision and AI to achieve exceptional results. Contact us today to schedule a consultation and explore the possibilities.

Let’s build something remarkable together.

Contact Us

Computer Vision & AI Systems for The Marra – Our Clients: Big Brands & Small Businesses


Computer Vision & AI Systems for The Marra – Selected Client Testimonials

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

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.

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.