SLAB DIMENSION & ALIGNMENT CHECK
Measure accurately. Align precisely. Eliminate waste before it rolls forward.
Measure accurately. Align precisely. Eliminate waste before it rolls forward.
Slight misalignments or dimensional inaccuracies in steel slabs during early stages can snowball into major product defects downstream. Manual caliper checks or edge-based sensors are limited in both accuracy and coverage, leading to off-spec output, wastage, and line slowdowns. AI-powered Slab Dimension & Alignment Check uses real-time computer vision to measure slab width, thickness, edge straightness, and alignment during rolling. It continuously validates dimensions against set tolerances and flags deviations, ensuring the process stays precise from the start.
Inaccurate width, thickness, or shape leads to product rejection or trimming loss.
Crooked entry into rollers or downstream units causes uneven rolling or jams.
Spot checks dont capture continuous variation across slabs, especially under high speed.
Thermal expansion, inconsistent feed rate, or load fluctuations distort slab consistency.
Captures continuous width, thickness, and tapering across slab length in millimeters.
Tracks deviation from centerline and detects lateral shifts during rolling.
Operators are notified when slabs fall outside configured dimensional thresholds.
Can auto-adjust cutters or side guides based on alignment feedback.
We work with your production and QA teams to identify the most dimension-sensitive sections, typically between caster exit, descaler zone, and initial roughing stands.
High-speed, high-res cameras are mounted at 3+ angles (top + both edges) to capture slab shape and line position. Each setup is calibrated for steel grades and light conditions.
We use past QC logs to train models that identify when and how slabs deviate, whether due to uneven cooling, feeder irregularity, or guide misalignment.
Deviation triggers are integrated with hydraulic rollers, guide controllers, or cutters, either for manual override or automatic micro-adjustments. Logs are archived for post-shift quality reviews.
Stay updated with the trending and most impactful tech insights. Check out the expert analyses, real-world applications, and forward-thinking ideas that shape the future of AI Computer Vision and innovation.
Fuel is one of the largest recurring expenses in container yard operations, yet it is often treated as a fixed cost rather than a controllable variable. Most operators focus on throughput, turnaround time, and capacity utilization, but overlook how daily inefficiencies quietly inflate fuel consumption. The truth is straightforward: fuel costs are rarely high because […]
CEO & Co-founder
How to Speed Up Yard Operations In any container yard, time behaves like currency. Every minute a truck waits at the gate, every container that sits idle without clear movement, quietly adds to operational cost. Yet, many yards continue to function with fragmented visibility, delayed coordination, and reactive decision-making. The result is predictable: longer turnaround […]
CEO & Co-founder
6:10 AM. The first truck entered the yard. The driver is in a hurry. The queue behind him is already being built. At the gate, a few seconds decide everything. A number is read. A seal is “assumed” to be intact. A quick look confirms “no visible damage.” The barrier lifts. Everything seems normal. Until […]
CEO & Co-founder
