Benewake Lidar - Advanced Sensors for Smarter Automation

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Short Distance Series Product Model

TF-NOVA

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Dimensions (L*W*H)26.5x21.05x12mm³

InterfaceUART, I/O, I²C

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Dimensions (L*W*H)21mm*15mm*7.87mm

Power Consumption≤0.35W

Weight~1.35g

TF-Luna

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Dimensions (L*W*H)35mm*21.25mm*13.5mm

InterfaceUART, I/O, I²C

Protection LevelN/A

Range0.2m~8m

Frame Rate1~250Hz

Power Consumption≤0.35W

Weight<5g

TFmini-S

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Dimensions (L*W*H)42mm*15mm*16mm

InterfaceUART, I/O, I²C

Protection LevelN/A

Range0.1m~12m

Frame Rate1~1000Hz

Power Consumption≤0.7W

Weight5g±0.3g

TFmini Plus

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Dimensions (L*W*H)35mm*18.5mm*21mm

InterfaceUART, I/O, I²C

Protection LevelIP65

Range0.1m~12m

Frame Rate1~1000Hz

Power Consumption550mW

Weight12g±1g

TFmini-i

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Dimensions (L*W*H)50mm*34mm*41mm

Power Consumption≤0.8W @12V

Weight52g

Medium Distance Series Product Model

TF02-Pro

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Dimensions (L*W*H)69mm*41.5mm*26mm

InterfaceUART, I/O, I²C

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Dimensions (L*W*H)69mm*40.5mm*31.25mm

Power Consumption≤0.85W @12V

Weight60g

TF02-Pro-W

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Dimensions (L*W*H)85mm*59mm*43mm

InterfaceUART, RS-485, I/O, I²C

Long Distance Series Product Model

TFA170-L

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Dimensions (L*W*H)31.0mm*30.2mm*19.2mm

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Dimensions (L*W*H)44mm*43mm*32mm

InterfaceCAN, 4-20mA, RS-232, RS-485, UART

Weight89g±3g (Custom 10g)

TF350

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Dimensions (L*W*H)78mm*67mm*40mm

InterfaceCAN, 4-20mA, RS-232, RS-485, UART

Long Distance Series Product Model

AD2-S-X3

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Dimensions (L*W*H)49mm*160mm*144mm

Interface1000Base-T1 Automotive Ethernet

Protection LevelIP67 & IP6K9K

Range200m@10%

Frame Rate10Hz

Power Consumption≤15W

Weight1.2Kg

Horn-X2 Pro

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Dimensions (L*W*H)192.6mm*157mm*126mm

Power Consumption≤35W

Weight≤3.8KG

Horn-RT

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Dimensions (L*W*H)183mm*157mm*120mm

Power Consumption≤35W

Weight≤3.3KG

Applications

Autonomous Mobility

ADAS Unmanned Mining Trucks Smart Logistics - Last-Mile Unmanned Delivery Autonomous Driving Truck Operation

UAV

Terrain Following Position Hold

Level Detection

Level Detection Volume Detection Liquid Level Detection Space & People Flow Detection

Robot

Pallet Transport Robot Obstacle Avoidance Crane Positioning / Obstacle Avoidance Robot Fall Prevention & Obstacle Avoidance

Smart Transportation

Vehicle Door Obstacle Avoidance Smart Parking Automotive Electric Tailgate Highway Key Area Monitoring V2X / Holographic Intersection / Traffic Light Control Meli train collision avoidance system Smart Civil Aviation

IoT

Auxiliary Focus Smart Trigger Security Warning

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Robot

Intelligent Rail-Guided Vehicle / Crane Obstacle Avoidance / Positioning

Scheme Introduction

With the development of the logistics industry, manual labor can no longer support the vast logistics transportation system, leading to issues such as inaccurate data and management personnel being unable to respond promptly to stock shortages and congestion, which significantly reduces the operational efficiency of logistics transportation. To improve transportation efficiency and reduce overall transportation costs, Benewake has launched obstacle avoidance solutions to assist the industry in moving towards a more stable, flexible, and faster automation direction.

Advantages

Low false alarm rate

Graded early warning

Rich interfaces

High frequency

Applications

Pallet Transport Robot Obstacle Avoidance

The Benewake LiDAR can monitor obstacles and distance information around the robot in real-time, allowing the system to promptly control deceleration or emergency stops, ensuring operational safety.

Crane Positioning / Obstacle Avoidance

Install Benewake LiDAR at the front and rear of the crane to monitor obstacles around the crane and the distance to the vehicle in front in real-time, providing feedback on distance information.

Robot

Scheme Introduction

Nowadays, robots can be seen everywhere in our daily lives. There are various types of robots, such as industrial robots, service robots, inspection robots, epidemic prevention robots, and so on, which have brought us convenience in our lives. If robots cannot quickly and accurately perceive and measure their surroundings during their movement, they are likely to collide with obstacles or people, resulting in economic losses or personal safety accidents.