Consulting Engineering in ML, machine vision, robotics, electroncs, and automation.
Developing architectures, hardware, and software to transform ideas and components into production-ready systems.
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.
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
Fully-integrated electronic, firmware, software, FPGA, and machine learning systems
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 24 months (Jan 2022 - Jan 2024)
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.