Welcome

LECKY ENGINEERING is a design engineering and software consultancy working with startups through Fortune 100 companies who need help in machine learning, machine vision, robotics, electronics, or general product strategy.

• ABOUT NED LECKY

  • Designer and creator of software, electronics, and hardware for robotics, machine vision, logistics, and industrial automation.

  • Inventor of Teledyne DALSA's Sherlock machine vision product and many other machine vision algorithms included in products sold by well-known companies in the machine vision industry.

  • Leader who has held major roles at General Electric, Amazon, Microsoft, and Google.

  • Engineer with a BS in Mechanical and Aerospace Engineering from Princeton University and MS and PhD degrees in Electrical and Computer Engineering from University of Vermont, coupled with 40 years of real-world experience making things work in factories, fulfillment centers, and datacenters.

ABOUT LECKY ENGINEERING:

• We are a white-label design firm imagining, designing, and building whatever you need:

  • Purely software systems

  • Machine learning algorithms (that work in the real world)

  • Software and firmware systems

  • Robotic solutions

  • Fully-integrated electronic, firmware, software, FPGA, and machine learning systems

  • Professional HMI and UX integrations for complex factory systems that need no-nonsense control and monitoring

• We have a proven track record

  • Creating practical and reliable solutions that work in the real world, and that are optimized for size, time-to-market, reliability, simplicity, performance, and cost

• Major Deliverables over the last 2 years (Jan 2022 - Oct 2024)

  • Evaluated new millimeter and WiFi based human sensing technologies

  • Wrote machine vision emulators for cameras and vision systems

  • Developed a human simulation test system servo control, RF power meter interface, MQTT event-bus based controller hardware and software for creating human-like breathing motion in a test environment for safety applications, all in Python

  • Developed a MillimeterWave radar sensor data stream analysis, clustering, and recording product used for human sensing product design in C# and Python.

  • Developed a multi-camera machine vision orchestration product that integrates software and hardware solutions from Teledyne DALSA (Sherlock, BOA) and Zebra Technologies (Adaptive, Matrox, FS40) for high-speed food and beverage applications in C#, seven custom industrial languages, and Allen-Bradley PLC code.

  • Evaluated thirty-one 3D/AI vision products for a major machine vision provider.

  • Evaluated various AI Welding companies for Private Equity and Venture Capital firms.

  • Developed a 3D grinding and polishing production system for a major semiconductor client using Universal Robots, C#, Python, and URScript.

  • Developed a 3D machine vision and robot control orchestrator using LMI 3D sensors and the Universal Robot platform for a major defense contractor in C#, Python, Java, and URScript.

  • Advised integrators and end-users on best-practice hardware and software architectures for machine vision and robotics using FANUC, ABB, and Kawasaki robots.

  • Taught courses at SUNY Plattsburgh as a Computer Science Assistant Professor

    • Intro to Programming with Python

    • Discrete Mathematics and COmputer Applications

    • Using Machoine Learning in Robotics Applicaitons

    • Tech Startup

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