24/7 Intelligent Protection: The LiDAR-Radar Fusion System Safeguards Your Forklift Safety
Forklifts, hailed as the “logistics workhorses,” are extensively deployed across various logistics facilities. However, their frequent reversing operations—often 200 to 300 times per day—combined with blind spots and substantial braking inertia, pose significant safety risks. To address these challenges, Nare Technology has introduced a LiDAR–radar fusion system that delivers precise environmental perception and intelligent early warning, thereby effectively enhancing operational safety and efficiency.
Business Challenges
According to the “National Report on the Safety Status of Special Equipment,” forklift accidents occur in the hundreds each year, accounting for 20% to 25% of all special equipment accidents. Data from the U.S. Occupational Safety and Health Administration indicate that approximately 85 people die annually in forklift-related incidents, with property losses exceeding US$100 million, underscoring the urgent need to deploy intelligent collision-avoidance systems to reduce such accidents.
Forklift-Truck Collision Accident at a Logistics Company in Shanghai
In March 2025, a forklift operator at a large logistics center in Shanghai failed to promptly spot a reversing truck due to obstructed visibility, resulting in a collision between the two vehicles.
Forklift-Pedestrian Collision Incident in Haiyan County, Zhejiang Province
In June 2022, Mr. Cao, a truck driver from Jiaxing, was delivering goods to Minghua Standard Parts Factory in Haiyan County with his four-year-old child when a forklift inside the factory accidentally struck the child during unloading.
Forklift Collision Accident at Suichang County Galvanizing Plant
In October 2022, at a galvanizing plant in the Shangjiang Industrial Park of Suichang County, a warehouse keeper was accidentally struck by a forklift while on his way to the warehouse;
Current Market Solution Comparison
Plan
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Ultrasound
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Pure Vision
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Radar-Visual
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Performance Requirements
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Short detection range (≤5 m), narrow detection angle (≤30°)
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Distance measurement accuracy is poor beyond 10 meters, lens distortion exceeds 90°, and unknown obstacles cannot be recognized.
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Up to 20 meters of detection range, dual 120° safety obstacle avoidance, and complementary sensors for reduced false alarms.
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Adaptability
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False alarms are likely in environments with humidity exceeding 90%.
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Affected by lighting conditions below 1 lux and above 30,000 lux, as well as rain, fog, and dust.
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All-day, all-weather operation, unaffected by rain, fog, dust, or lighting conditions.
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Speed measurement range
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Must be used at speeds below 10 km/h.
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Standard camera speed measurements are accurate to within ±40 km/h.
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Maximum speed measurement accuracy: ±60 km/h
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Target Information
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Target distance
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Target distance, type
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Target distance, angle, speed, and type
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Advantages of LiDAR and radar:
Long detection range: 20 meters—more secure than pure ultrasonic or vision-based methods.
Wide coverage: Dual wide-angle 120° effectively reduces physical blind spots.
Strong adaptability: Dual-sensor redundancy ensures reliable performance in rain, fog, and dusty conditions.
Radar-based solutions
On-site equipment:
Configuration List:
1 integrated radar–vision unit (AFM7 1 mm-wave radar + 1080p HD camera), N mm-wave radars, 1 AI smart display, and 1 audio-visual alarm.
Core Features:
① Real-time detection of rear obstacles (up to 20 m away, with an accuracy of ±0.1 m)
② The display screen provides real-time AI-powered identification of obstacle types (pedestrians/vehicles/objects).
③ Multi-level audio-visual alarm (warning intensity adjustable based on distance)
Installation Plan:
Option 1: Single Rear-ward Monitoring (Equipment: 1 Integrated Radar-Video Unit)
Enables precise monitoring within a 120° rearward field of view and a 20-meter range, effectively mitigating the risk of rear-end collisions, making it ideal for customers who require only rear-ward collision avoidance.
Option 2: Rearward and Lateral Monitoring (Equipment: 1 integrated radar–vision unit, 2 millimeter-wave radars)
Enables three-way monitoring—rearward, left, and right—effectively preventing rear-end and side collisions, making it ideal for customers with multi-directional collision-avoidance requirements.
Option 3: 270° Surround View Monitoring (Equipment: 1 integrated radar–vision unit, 4 millimeter-wave radars)
Enables 270° all-round vehicle monitoring, ideal for customers with stringent protection requirements that demand zero blind spots and no dead angles.
AFM711 millimeter-wave radar
The AFM711 is a millimeter-wave radar developed by Nare Technology specifically for collision avoidance in construction machinery. Building on conventional 3D detection, it adds height-measurement functionality and employs low-power FMCW modulation, delivering high precision and high resolution. This product enables 120° dual wide-angle 3D spatial detection within a 20-meter range, simultaneously identifying both moving and stationary obstacles. By leveraging height information and AI algorithms, it intelligently filters out interfering targets such as speed bumps and manhole covers. Its outstanding environmental adaptability meets the requirements of more than 80% of forklift operation scenarios.
Customer Benefits
1. Reduce vehicle collisions by 80%–90%, thereby lowering the accident rate.
According to U.S. OSHA data, the implementation of advanced safety and collision-avoidance systems can reduce forklift accidents by 80% to 90%. With an investment of only RMB 2,000 to 5,000 per vehicle, these systems can optimize blind-spot detection and performance in low-light conditions, recouping the initial cost within 6 to 12 months through reduced accident rates and improved operational efficiency.
2. Optimize to increase driving speed by 15%–20%, thereby improving efficiency.
Optimizing forklift travel speed and implementing real-time obstacle avoidance can reduce the frequency of emergency stops, resulting in an average speed increase of 15%–20% (based on Toyota forklift test data). Additionally, with fewer accidents, equipment maintenance time is reduced by an average of 50%, saving 30–50 hours per forklift annually and thereby improving operational efficiency.
3. Reduce maintenance costs by 10%–25% to save on premiums
A case study by a rental and leasing company indicates that, following the installation of collision-avoidance systems, annual forklift maintenance costs can be reduced by 40% to 60%. Additionally, certain insurance companies offer premium discounts of 10% to 15% for vehicles equipped with ADAS, and a further reduction of 10% to 25% in renewal premiums can be achieved as accident rates decline, resulting in a substantial overall reduction in total cost of ownership.
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