Vision-AI and Embedded Intelligence for Nimmo

COLETEK has deep, decades-long roots in computer vision, machine learning, and embedded AI—having built autonomous vision systems long before OpenCV or YOLO existed.

We design and deploy vision-based systems for robotics, surveillance, inspection, agriculture, and industrial automation. From real-time edge inference on microcontrollers to GPU-powered pipelines, our team delivers practical AI that works in the real world.

Capabilities

  • Object Detection & Tracking (YOLO, EfficientDet, custom CNNs)
  • Stereo Vision, Optical Flow, SLAM, LIDAR + Vision Fusion
  • Face Recognition, OCR, Licence Plate Recognition (LPR)
  • Vision for Robotics: navigation, manipulation, safety
  • Edge Deployment: NVIDIA Jetson, Raspberry Pi, OpenVINO, TFLite

Applications

  • Autonomous vehicles & mobile robots
  • AI-enabled factory QA & process automation
  • Smart agriculture & plant recognition
  • Surveillance systems with object/person detection
  • AI Smart Rider: wearables + computer vision feedback

If your product or platform needs real-time visual intelligence, we can help. From PoC through to production, COLETEK provides end-to-end design and integration of embedded AI systems for Nimmo.

Contact COLETEK to explore a custom computer vision or AI solution for your product.

Also check out our services in Robotics Prototyping and Edge-AI & IoT Systems for Nimmo.

Computer Vision and AI Systems

Vision systems deployed in real-world robotics since the early 2000s.

Computer Vision and AI Development Services for Nimmo, Snowy Mountains, New South Wales, Australia

At COLETEK, we empower businesses in Nimmo and the Snowy Mountains region to harness the transformative power of computer vision and AI. Our team of experts has extensive experience in developing and deploying cutting-edge AI systems across industries, from agricultural automation to surveillance and research.

We understand the unique challenges faced by businesses in this region, where deployment conditions can be harsh and connectivity can be limited. Our approach is tailored to address these challenges, with a focus on robust model integration, edge deployment, and system optimisation.

From discovery and design decisions to prototyping, iteration, integration, testing, and production-readiness, we support every step of the development process. Our team can also assist with remote collaboration and provide Australia-wide support.

We have delivered over 150 R&D and product development projects across hardware and software, collaborating with leading institutions like ANU, CSIRO, NICTA/Data61, Seeing Machines, and Hemisphere GPS / BEELINE. Our founder, Luke Cole, has 25+ years of hands-on experience in robotics, electronics, embedded systems, AI, and product development.

Let us help you harness the potential of computer vision and AI to solve your business challenges and achieve remarkable outcomes. Contact us today to schedule a consultation and discuss your specific needs.

Let’s build something remarkable together.

Contact Us

Computer Vision and AI Development Services for Nimmo – Our Clients: Big Brands & Small Businesses


Computer Vision and AI Development Services for Nimmo – 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.

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.

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.