Investronica (by Lectra)
Pioneering AI-driven CAD/CAM and PLM ecosystems for the apparel and automotive industries.
AI-Powered Self-Cleaning Optical Sensing for Extreme Industrial Environments.
ExcelSense represents a critical shift in the 2026 industrial landscape, moving from passive sensing to active, self-maintaining intelligence. Its core architecture, centered around the ToughSense platform, integrates deep learning models directly into edge-computing hardware to solve the 'blindness' problem in heavy industries like mining, oil and gas, and construction. Unlike traditional optical sensors that fail due to dust, mud, or moisture, ExcelSense utilizes an AI-driven self-cleaning mechanism called ClearSurface™. This technology employs computer vision to distinguish between permanent lens obstructions and temporary environmental factors, triggering automated cleaning cycles only when necessary. By 2026, the company has positioned itself as the leader in 'Sensing-as-a-Service' (SaaS), moving beyond hardware sales into recurring revenue models based on data uptime. Their technical stack leverages low-latency inference at the edge to ensure real-time safety monitoring and process optimization without the need for constant cloud connectivity. This positioning addresses the high-stakes demand for autonomous vehicle safety and remote site monitoring where manual maintenance is impossible or cost-prohibitive.
Proprietary algorithm that uses texture analysis to differentiate between lens mud/dust and environmental objects.
Pioneering AI-driven CAD/CAM and PLM ecosystems for the apparel and automotive industries.
The ultimate industrial AI and data analytics platform powered by Altair Units and friction-free ML.
Real-time predictive maintenance and fault isolation through deep-neural sensor fusion.
Autonomous AI-powered software for industrial-scale additive manufacturing.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
On-board NVIDIA Jetson or similar SOM for real-time video analytics without cloud latency.
Combines optical vision with IR to maintain visibility in zero-light or smoke-filled environments.
Native translation of AI outputs into Modbus TCP, EtherNet/IP, and Profinet.
Monitors internal temperature, humidity, and motor torque to predict hardware failure.
Integrated heating and cooling elements to operate in temperatures from -40°C to +60°C.
Centralized dashboard for pushing global AI model updates to hundreds of edge devices.
Camera blinding due to heavy dust prevents autonomous trucks from operating safely.
Registry Updated:2/7/2026
Truck maintains 100% operation speed.
Soot buildup on monitoring cameras leads to missed flare outages and environmental fines.
Mud splatter on security cameras renders surveillance useless during wet seasons.