Discover how LUCID Vision Labs’ cutting-edge machine vision cameras are transforming industries around the globe. From precision agriculture and autonomous vehicles to advanced robotics and quality inspection, our customers are solving complex challenges with powerful imaging solutions. Explore real-world use cases and success stories that showcase the performance, reliability, and versatility of LUCID’s technology in action.
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AI Vision System Verifies Palletized Shipments at the Loading Dock
Pallet Verification: Acella AI’s Dock Check system automates inbound and outbound pallet verification using deep learning to detect pallets and labels, count boxes, read codes, and compare results with expected order data.
Automated Catch Registration for Small-Scale Fisheries
AI Fish Registration: CatchREG uses computer vision and machine learning to automatically classify species, weight, and quantity of each fish in real time. The system features LUCID’s Phoenix flexible machine vision cameras.
Automating Dairy Farm Hygiene with 3D Vision and Robotics
Clean Cows: Automating dairy farm hygiene with 3D vision, AI, and robotics. Fisher Smith’s system using Helios2+ 3D ToF camera enables precise cow cleaning.
AI Vision System Inspects Concrete Pavers for Defects
Perfect Concrete: A US paver manufacturer adopted Accella AI’s vision system with the Triton camera to achieve fast and consistent defect detection with up to 99% accuracy.
AI-Powered Precision Weed Control in Agriculture
AI Weed Detection: DAT’s AI-powered weed control system uses LUCID’s Phoenix cameras to cut herbicide use by up to 90%, boosting sustainability and crop yield in agriculture.
Enhancing Food Safety with Automated 3D Detection Technology
3D Vision Boosts Meat Safety: Veritide’s BluMax system uses LUCID’s Helios2+ 3D ToF camera for precise, automated fecal detection in meat processing, improving food safety.
3D Projection Picking System for Material Handling
3D Projection Picking System: AIOI Systems 3D-Projection Picking System (3D-PPS) revolutionizes error detection and operational efficiency using advanced 3D sensor technology.
Autonomous Vehicle Integrates Atlas 5GigE Cameras in aUToronto Autodrive Competition
AI Autonomous Vehicle: aUToronto integrates LUCID’s Atlas 5GigE cameras into their autonomous vehicle, enhancing object detection and perception for SAE’s Autodrive Challenge II.
Enhancing 3D Spatial Awareness in Challenging Environments with LUCID’s IP67 Cameras
3D Spatial Awareness System: 3D perception emerges as a game-changer in spatial awareness thanks to Visionary Machine’s Pandium
World’s First Autonomous Electric Passenger Ferry
AI Autonomous Electric Ferry: Zeabuz has developed an innovative solution for unmanned, zero-emission passenger ferries operating 24/7 in urban areas.
Automated AI-Driven Depalletizer Powered by Helios2 Time-of-Flight Camera
Automated AI-Driven Depalletizer: Inser Robotica’s AI-powered depalletizer uses LUCID’s Helios2 3D ToF camera for precise, automated box handling and boosting logistics efficiency and accuracy.
Automated Wood Surface Inspection Using Machine Vision Cameras
Automated Wood Surface Inspection: Durgin and Crowell use LUCID’s Triton cameras in a high-speed vision system to detect wood surface defects, boosting inspection accuracy and reducing waste.
Robot Gripper Moves Stackable Bins Using the Helios2 ToF Camera
Robot Gripper Moves Stackable Bins: Aiming to improve the versatility of onsite automation systems, Roboshin, a Japanese company focused on robot handling, has commercialized a robot gripper using 3D cameras.
Microsatellite Uses Atlas 31.4MP Camera for Earth Imaging
Microsatellite Captures High Resolution Imagery: Harada Seiki’s Kitsune microsatellite uses LUCID’s 31.4MP Atlas 5GigE camera for high-res Earth imaging and advanced space-based communication.
AI-Based Object Recognition for Maritime Navigation Using Triton IP67 Cameras
AI Maritime Object Recognition: JRCS enhances maritime safety with AI-based object recognition using Triton IP67 HDR cameras for reliable navigation in all weather and lighting.
Real-time IoT construction site monitoring using Triton IP67 cameras
IoT Construction Monitoring: When IoT data is utilized for real-time construction site monitoring, the image processing can be done in two ways: either on-premises or in the cloud.
3D Time-of-Flight Camera Aids Robotic Palletizers
3D Robotic Palletizers: When a new pallet tower has been delivered by the forklift, the system detects the new pallet tower and measures the the pallets to determine the specific pallet from 20 different types.
Efficient Vision Guided Pick & Place System for Blister Packaging
Pick and Place System: Blister packs are used as unit-dose packaging for consumer goods or small tablets and capsules. To reduce manual labor, an efficient pick and place solution was developed by Pensur.
Vision System for Accurate Drill Measurement
High Accuracy Drill Measurement: NUTAI, an engineering service company for industrial automation, has developed a vision system for manual and automatic precise measurements of drills.
Autonomous Forklifts Stack Cheese Boxes Using 3D Time-of-Flight
Autonomous Forklifts Stack Cheese: At a cheese factory in the Netherlands, 12 self-driving forklifts have the task to stack and de-stack cheese boxes in a fully automated process, thanks to vision algorithms developed by Florinco.
World’s First Level-4 Autonomous Electric Bus Uses Triton Cameras
Autonomous Electric Bus: California-based company ADASTEC, specializing in autonomous driving software platforms, presented their first 100% electric, fully autonomous level-4 8.3m bus for Europe and USA roadways.



















