Spatial Data from the Factory Floor.
Not a Whitepaper.
We capture massive industrial environments and turn them into highly accurate, actionable spatial datasets. We know how to navigate extreme heat, machine vibrations, and active forklift traffic to deliver your digital twin without stopping the production line.
Industrial Plant Deliverables
Virtual HSE Training
Allow new operators to navigate the floor, locate Lockout/Tagout (LOTO) points, and memorize evacuation routes safely from a browser before their first active shift.
Remote Facility Management
Use built-in digital measurement tools to extract exact clearances for new heavy machinery, ensuring a perfect fit before moving equipment into tight corridors.
SCADA & IIoT Mapping
Your 3D mesh acts as the visual framework for the Industrial Internet of Things. We overlay real-time IoT sensor data (machine temperatures, output rates) directly onto the physical machinery.
Point Cloud Extraction
We export dense .XYZ and .E57 point clouds that integrate directly into Autodesk Recap® or AutoCAD® for engineering rework and clash detection.
The Reality of a Million Square Feet
Tire Manufacturing Lines
Scanning a live production floor is rarely as pristine as a corporate brochure suggests. During our deployment across massive tire manufacturing plants—covering both TBR (Truck Bus Radial) and PCR lines—we documented the entire workflow. We started at the sunlit RMS raw material loading bays, moved through the intense Banbury mixers and extruders, captured the Tyre Building Machines (TBM), and finished at GT painting and final curing.
The curing and mixing sections presented extreme heat, noise, and constant floor vibrations, making it a true technical challenge to stabilize a 5kg LiDAR camera on a tripod.
Operating in the Chaos
Beyond the technical hurdles, the real challenge on a factory floor is often human. Operators initially eye the camera with suspicion, assuming it is a corporate surveillance tool. Once we explain that we are mapping the infrastructure and machinery, the tension drops. During our Chennai deployment, the initial wariness turned into friendly lunch-break chats about local politics and the shifting landscape with TVK Vijay taking oath as Chief Minister. That boots-on-the-ground rapport is what allows us to operate smoothly.
A successful industrial scan is a massive logistical coordination. In complex, sprawling environments, you are constantly dodging drifting forklifts and heavy foot traffic. We rely heavily on site managers and security personnel to temporarily halt traffic and clear sightlines, ensuring a pristine scan. It is a demanding, overheating environment, but executing a flawless capture alongside a dedicated plant team is genuinely rewarding.
import open3d as o3d
import numpy as np
def calculate_asset_volume(point_cloud_file):
# Load the spatial point cloud data
pcd = o3d.io.read_point_cloud(point_cloud_file)
# Extract Axis-Aligned Bounding Box (AABB)
aabb = pcd.get_axis_aligned_bounding_box()
extent = aabb.get_extent()
volume = np.prod(extent)
print(f"Calculated Volume: {volume:.2f} m³")
return volumeApplied Data Science & Spatial Analytics
We deliver more than visual walkthroughs. The underlying architecture of a 3D scan is a massive point cloud dataset where every point contains specific Cartesian coordinates $(x, y, z)$ relative to the scanner.
By exporting this data, we use Python-based data science libraries to run automated spatial analytics. This allows plant directors to train custom AI models to automatically isolate specific machinery, detect structural anomalies, or calculate the exact volumetric footprint of raw material stockpiles.
The Active Plant Workflow
We know how to navigate the chaos to get your engineering teams the clean data they need, without slowing down production.
1. Safety & Inductions First
We do not bypass protocols. Our technicians arrive early for mandatory safety inductions, wear full PPE (steel-toes, hard hats, hi-vis), and strictly respect all LOTO (Lockout/Tagout) boundaries on the floor.
2. Navigating the Floor
We coordinate closely with your shift foremen to navigate active zones. We dodge active forklifts, mitigate heavy machine vibrations that ruin scanner calibration, and operate safely around high-heat areas like extruders and curing lines.
3. True Zero Downtime
We achieve 0% downtime by scanning active lines from safe catwalks or utilizing scheduled shift changes and lunch breaks to capture critical machinery without interrupting the workflow.
How to Prepare Your Plant for Scanning
The scanner captures exactly what the laser hits. Please share these guidelines with your shift managers to ensure a successful capture.
Safety & 5S Compliance
Ensure the floor is swept of loose debris and tools are returned to their designated shadow boards. A messy floor scanned in 3D creates a permanent visual record of safety hazards.
Protecting Intellectual Property
The camera captures exactly what is visible. If there are unreleased product prototypes, proprietary molds, or sensitive SCADA telemetry screens, the plant manager must cover them or turn them off prior to the scan.
Lighting in Warehouses
Massive raw material warehouses often have dark corners. We request that all high-bay lighting is fully active. If necessary, please coordinate the use of temporary halogen work lights for dimly lit inventory aisles so the camera can capture visual data alongside the LiDAR points.
Simple Industrial Pricing
We believe in transparent pricing. We offer a straightforward, flat-rate model for industrial documentation projects.
A minimum deployment cost of ₹10,000 applies.
- Travel Included: The standard rate covers our travel expenses to industrial sites anywhere in India.
- Data Deliverables: The 3D showcase and interactive measurement tools are standard. MatterPak point cloud exports are quoted separately.
- Proof of Concept: For massive enterprise networks, we execute complimentary trial scans (e.g., a single production line) to validate workflow integration.
Annual Matterport cloud hosting fees are billed separately. We will break down all costs clearly before any agreements are signed.
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