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Accelerate your smart logistics upgrade.

From automated warehousing and AGV navigation to parcel DWS systems, our sensing technology permeates every stage of smart logistics.

View the smart logistics solution

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Logistics

3D obstacle avoidance and pallet positioning for unmanned forklift forks

When performing cargo storage and retrieval tasks, forklifts often need to extend their forks deep into the shelves or operate in mid-air. Traditional 2D LiDAR sensors, typically mounted at the bottom of the vehicle body, are unable to detect overhead obstacles at fork height—such as protruding steel beams or improperly arranged goods. As a result, forklifts are highly susceptible to “high-altitude collisions” when lifting or moving forward. Moreover, accurately identifying pallet slot positions has long been a persistent challenge in the industry. Relying solely on mechanical positioning is often insufficiently precise, easily leading to failed insertion attempts or even damage to the goods.

Artificial Forklift Rear-View Blind Spot Monitoring and Active Collision Avoidance

According to statistics, forklift accidents are one of the most significant safety hazards in industrial settings, with over 40% occurring during reversing maneuvers. When operating a forklift manually, the driver’s line of sight is obstructed by the vehicle’s body structure, cargo, and cab pillars, creating a large blind spot at the rear of the vehicle. Particularly in noisy factory environments where people and vehicles mingle, drivers find it extremely difficult to promptly detect pedestrians or low-lying obstacles that suddenly appear behind the vehicle, making rollover or collision accidents highly likely.

Integrated Autonomous Navigation, Positioning, and Safe Obstacle Avoidance for AGVs

For AGVs and AMRs that employ laser SLAM navigation technology, the key to design lies in how to simultaneously address two core challenges—“Where am I?” and “What’s ahead?”—within the constraints of limited vehicle space and a tight cost budget. Deploying separate navigation radar and obstacle-detection radar not only increases hardware costs but also consumes valuable installation space and complicates system integration. The market urgently calls for a “multi-purpose” sensor solution that can both provide high-precision environmental contour data for mapping and localization and independently deliver reliable safety protection.

Three-dimensional stereoscopic safety protection for robotic arm workstations

In modern factories where human-robot collaboration is becoming increasingly close, traditional two-dimensional safety protection measures—such as safety light curtains, safety mats, or 2D LiDAR—can no longer adequately meet the demands of complex three-dimensional safety protection. When robotic arms perform tasks like palletizing or assembly, their motion trajectories are three-dimensional, posing not only horizontal collision risks but also irregular danger zones from above or the sides. Operators may inadvertently extend their limbs into the robotic arm’s operational envelope, or workpieces might accidentally fall—both scenarios that conventional planar sensors often “overlook,” leaving significant safety blind spots.

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