Vendor: Benewake (China)
Product: TFS20-L
Benewake TFS20-L is an ultra-compact LiDAR ranging module with 0.2-20 m range, about 1.35 g weight and a 21x15x7.87 mm footprint, suited to micro drones, portable devices and space-constrained embedded ranging.
| Power | ≤ 0.35 W |
| Range | 0.2 ~ 20 m |
| Weight | ~ 1.35 g |
| Frequency | 1 ~ 250 Hz |
| Dimensions | 21 mm × 15 mm × 7.87 mm |
The Ouster OS1 Max is the flagship long-range imaging lidar of the Rev8 OS series and the first to reach 256 vertical channels (also 64/128): 865 nm Class 1 eye-safe laser, 360 deg x 43.9 deg FOV, 512-4096 horizontal columns, 5-40 Hz configurable rotation. In 1024 @ 10 Hz mode it reaches 350 m on 80% Lambertian targets and 200 m on 10% targets (both >90% detection probability at 100 klx sunlight), with 500 m max representable and 0 m minimum range; range accuracy is +/-1.25 cm (Lambertian) / +/-2.5 cm (retroreflective) at 0.1 cm resolution, up to 2 returns and 10,485,760 points per second. Native RGB-D color point cloud (116 dB dynamic range) carries RGB, range, signal, reflectivity, NIR, channel, azimuth and timestamp per point; a synchronous IMU runs at 640/1280/2560 Hz. Data leaves over gigabit Ethernet UDP with PTP/gPTP/NMEA/PPS time sync (<1 ms error) and <10 ms latency. It runs from 12/24 VDC (9-58 V) at 15-25 W (19 W nominal, 28 W peak starting at -40 C), measures 87 mm diameter x 82 mm and weighs 670 g (720 g with halo cap); IP68/IP69K, -40 to +85 C, 100 g shock and 10 Grms vibration. Engineered for functional safety (ASIL-B, SIL-2, PLd) with an on-sensor 3D Zone Monitor and designed for cybersecurity to ISO 21434 / UNECE WP.29 / IEC 62443 / ISO 27001. Built for long-range industrial sensing, off-highway vehicles, autonomous cars, trucks and buses, traffic and security monitoring, and 3D mapping vehicles.
The XFM-10X21-MINI is a standardized acoustic noise-reduction hardware module from Bothlent for AI robots, smart cockpits, ATMs, hospital queue terminals, and other AIoT devices. It combines environmental noise removal, echo cancellation, VoIP call noise reduction, microphone-array wake-up, sound-source localization, and super-directional pickup with voice-separation and sound-classification algorithms. Beyond speech processing, it distinguishes natural sounds such as thunder, birds, and animals from specific human sounds such as snoring and coughing, making it suitable for noise-pollution control, smart security, and home health-monitoring devices. The vendor page does not disclose the microphone-array count, pickup range, interface, or electrical specifications.
RDM-Lite-X2 is a Bothlent Android board designed for voice and video large-model integration in AI robots, intelligent voice terminals, and industrial IoT devices. Its microphone array and on-device acoustic algorithms support 1-5 m interaction, 180- or 360-degree sound-source localization, directional pickup, environmental sound classification, multi-speaker separation, and 0.3-second wake-up. The board connects to Doubao, Coze, Qwen, Tencent Hunyuan, and MiniMax and supports Android application development and integration.
RDM-Lite-X1 combines a sound card and Android mainboard in one voice-interaction module for AI robots, intelligent voice terminals, and industrial IoT systems. It uses a microphone array and a 6 TOPS NPU to support 1-5 m interaction, 180- or 360-degree sound-source localization, directional pickup, environmental sound classification, multi-speaker separation, and 0.3-second wake-up. It connects to Doubao, Coze, Qwen, Tencent Hunyuan, and MiniMax, supports secondary Android application development, and adds visual detection to acoustic processing through the AVSS multimodal approach.
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