LiDAR vs Photogrammetry: Which Is Better for Handheld 3D Scanning?
Handheld 3D scanner vs photogrammetry — accuracy, cost, speed, and real-world use cases compared. Find out which method fits your project.
Read More →360° Non-Repetitive Scanning 3D LiDAR
Innovative non-repetitive scanning technology captures richer spatial information per frame. Combined with high-precision ranging and industrial-grade reliability, providing comprehensive 3D perception for autonomous driving, robot navigation, and smart cities.
Four core technologies for superior 3D perception
Each rotation covers different angles, progressively filling the vertical field of view over time for higher spatial resolution and richer environmental data.
FOV 70°×360°200kHz point rate, 0.05~50m range (90% reflectivity), ≤2cm accuracy (@10m) for reliable environmental modeling and target detection.
Resolution 0.9°~0.18°IP67 rated, -10°C~+60°C wide temperature range for harsh outdoor environments. Only 408g, compact and lightweight.
Only 408gPower under 4.5W with built-in IMU. Supports PTP v2 precise time synchronization for convenient multi-sensor fusion.
PTP v2M360 and M360-D dual versions for diverse application needs
| Spec | M360 | M360-D |
|---|---|---|
| Scanning Type | Non-repetitive | Non-repetitive |
| Horizontal FOV | 360° | 360° |
| Vertical FOV | -10°~60° (70°) | -10°~60° (70°) |
| Range | 0.05~50m (90% reflectivity) | 0.05~50m (90% reflectivity) |
| Point Rate | 200kHz | 200kHz |
| Range Accuracy | ≤2cm(@10m) | ≤2cm(@10m) |
| Angular Resolution | H: 0.9°~0.18°, V: 0.36° | H: 0.9°~0.18°, V: 0.36° |
| Return Mode | Single Return | Dual Return |
| Protection | IP67 | IP67 |
| Input Voltage | 12~32VDC | 12~32VDC |
| Power | <4.5W | <4.5W |
| Dimensions | 78×78×81mm | 78×78×81mm |
| Weight | 408g | 408g |
| Interface | Ethernet×1, CAN×1 | Ethernet×1, CAN×1 |
| Protocol | TCP/UDP, PTP v2 | TCP/UDP, PTP v2 |
Discover M360 real-world applications across industries
Handheld 3D scanner vs photogrammetry — accuracy, cost, speed, and real-world use cases compared. Find out which method fits your project.
Read More →Learn how to use handheld LiDAR scanners for scan-to-BIM workflows — from hardware selection and field scanning to point cloud processing in Revit. Practical guide with accuracy benchmarks.
Read More →A robotics engineer's guide to selecting the right LiDAR for handheld SLAM scanning — comparing Livox M360, LD19, Pandar40P, and mechanical multi-line options.
Read More →Compare three HKU-MARS SLAM algorithms for handheld scanning. Which handles fast motion, degraded environments, and colored point clouds best?
Read More →A practical breakdown of every sensor type an autonomous forklift requires — LiDAR, cameras, ultrasonics, IMUs, and encoders — with comparison tables and a selection checklist.
Read More →Side-by-side specs for 12 LiDAR sensors used in AGVs and AMRs — 2D and 3D, from budget options to industrial-grade. Includes decision framework by use case.
Read More →185,500 robot LiDAR units shipped in Q1 2026. Why pricing is compressing, and what this means for AGV sensor selection.
Read More →A data-driven framework covering 8 hardware parameters, SLAM compatibility, a 3-year TCO model, and a 15-point evaluation checklist for AGV LiDAR selection.
Read More →Why the cheapest AGV LiDAR could cost you 5x more. Our 3-year TCO model reveals downtime, calibration, and hidden costs that spec sheets don't show.
Read More →A practical migration guide covering sensor selection, ROI analysis, and step-by-step deployment for switching your AMR fleet to 3D LiDAR. Includes M360, RoboSense Airy, and Hesai JT128 comparison.
Read More →Compare near-blind zone specs of 6 leading LiDAR sensors: M360, MID-360, Hesai XT32, Hokuyo, SICK, and Livox Mid-70. Includes measured data, decision tree, and ISO 3691-4 safety analysis.
Read More →Blind zone, FOV, IP rating, dual echo — practical LiDAR selection recommendations for warehouse, factory, and outdoor AGVs.
Read More →How big are 2D LiDAR blind zones really? Which scenarios justify upgrading to 3D? Cost analysis based on real deployments.
Read More →How M360 LiDAR is applied in urban renewal to solve traditional survey challenges, improve mapping efficiency and reduce costs.
Read More →M360 LiDAR in industrial scanning: factory renovation, warehouse modeling, and equipment maintenance for high-precision measurement.
Read More →Real-world substation inspection: M360 LiDAR solves quadruped robot navigation on 40° steep stairs with 5cm near-blind zone, IP67, and dual-echo penetration.
Read More →M360 vs MID-360 comparison: range, blind zone, FOV, power, supply, dual-echo, IP67, IMU with scenario-based recommendations.
Read More →M360 LiDAR anti-interference for multi-device environments: dual-echo penetration, 5cm near-blind zone, IP67 protection.
Read More →SmartBotParts M360 vs Livox MID-360 on campus delivery robots: 70° FOV low-profile mount, 5cm near-blind zone, cold/hot temp, dual-echo rain.
Read More →M360 benchmarked with FAST-LIO2, LIO-SAM, Point-LIO, RT-LOAM, Cartographer: mapping quality, CPU usage, best-fit scenarios.
Read More →LiDAR mounting for humanoid robots: head vs waist. M360 70° FOV, IP67, dual-echo performance in waist-mount config.
Read More →Indoor AGV pitfalls outdoors: rain noise, high temp power loss, dust. M360 dual-echo rain resistance, 60°C operating temp, IP67 dust protection.
Read More →See M360 product performance and applications in action