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 Coggan, Central Tablelands, New South Wales, Australia

Coggan businesses can harness the power of advanced computer vision and AI systems to transform their operations. COLETEK specializes in delivering tailored solutions that address specific industry challenges and optimize workflows across sectors. Our team combines expertise in camera integration, dataset preparation, model selection, edge deployment, and inference pipelines to deliver impactful results.

From camera-based inspection for agricultural fields to AI-assisted monitoring for industrial sites, our solutions enhance productivity, safety, and efficiency. We understand the unique challenges of working in remote locations and have extensive experience deploying vision systems across challenging environments.

Our collaborative approach involves working closely with clients through every stage of the process, from discovery and design decisions to prototyping, iteration, integration, testing, and production-readiness. We seamlessly integrate AI technology with hardware and software workflows to deliver comprehensive solutions that meet your specific needs.

COLETEK has delivered over 150 R&D and product development projects across hardware and software, working with clients across Australia. Our founder, Luke Cole, brings 25+ years of hands-on experience to the team, having contributed to projects in collaboration with leading institutions like ANU, CSIRO, and NICTA/Data61.

Let us discuss how COLETEK can empower your business in Coggan to achieve remarkable outcomes through the power of computer vision and AI. Contact us today to schedule a consultation and explore the possibilities.

Let’s build something remarkable together.

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


Computer Vision & AI Systems for Coggan – Selected Client Testimonials

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

Over five years, we've partnered with COLETEK to deliver a sensational end-to-end product. Their expertise across hardware and software development has streamlined and expedited our project to market, achieving great success.

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.