AI / Machine Learning / cv-13
Robot Pick-Point Perception Engine
Turns image and video streams into automated inspection, safety, and operational intelligence.
Commercial Scale
$29,200 USD
Risk Reduced
Automation Reliability
Executive Situation
Warehouse robots struggled with mixed bins where overlapping items, reflective packaging, and partial occlusion made grasp planning unreliable.
Modular Solutions Response
We fused RGB-D point clouds, instance segmentation, and grasp pose scoring to select stable pick points. The engine returns candidate poses with collision checks and adapts thresholds by SKU material and bin density.
Industry
Manufacturing
Category
Computer Vision & Spatial Intelligence
Specialty
Production
Evidence Basis
Model + MLOps
parameters
46M point-cloud model
latency
82ms grasp proposal
training
83 GPU hours
loss
L = CE(graspable) + SmoothL1(pose)
Enterprise Security Gate
Network Access Restricted.
Detailed files, client-specific assumptions, and delivery channels remain controlled.