Bin Picking
Accurate and efficient automated part feeding is essential to high-performing manufacturing operations. At Ascension Automation, our bin picking systems combine advanced vision, AI, robotics, and controls to deliver high-precision, 24/7 parts handling that boosts productivity and flexibility across industries.
Core Components
Vision and AI
High-resolution cameras and depth sensors capture precise 3D data of the parts inside a bin. Using custom deep-learning models trained on your specific parts, the system identifies shapes, overlaps, and orientations with accuracy. Confidence scoring reduces false picks and keeps your process consistent.
Applications
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Automated part feeding for CNC, assembly, and packaging processes.
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Speeds up sorting, order fulfillment, and logistics workflows.
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Safely handles sharp, heavy, or hazardous materials.
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Scales easily to different parts, bins, and production needs.
Controls and Motion
The AI output drives the robotic system through advanced motion planning that accounts for collision avoidance, optimized gripping paths, and placement efficiency. Adaptive grippers can handle a wide range of part geometries and materials, while continuous monitoring supports reliable 24-hour operation.
Seamless Integration
Our bin picking systems integrate seamlessly with industry-leading vision technologies such as Keyence, Cognex, and Fanuc iRVision. Every solution is tailored to your process, ensuring it fits your workflow and meets your production goals.
Why Choose Ascension?
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We design bin picking systems that combine high-end vision, AI, and robotics for accuracy and throughput.
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Each system is built to handle real-world challenges like random part orientations, crowded bins, and continuous operation.
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Flexible integration ensures compatibility with your existing equipment, using hardware and software tailored to your production environment.
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Our team brings deep expertise in automation, machine vision, and robotics, working closely with you to deliver results that match your operational goals.
