Efficiency in Loading Operations for the Food Industry! Truck Safety Support System
Another layer of reassurance in your usual tasks. Safety measures for trucks.
In food factories, the transportation and loading/unloading of raw materials and products by truck is a routine task. Trucks have large bodies and many blind spots, making it easy to overlook surrounding workers during reverse maneuvers or loading operations, resulting in a high-risk environment for contact and entrapment accidents. Particularly in receiving areas and shipping zones, there are many situations where people and vehicles work in close proximity, creating conditions conducive to human error. The BFV203 is an add-on entrapment accident warning system for trucks. It continuously monitors the area around the vehicle and immediately alerts the driver when a worker enters a danger zone. This system helps prevent serious accidents, reduces visual strain, and contributes to the efficiency of loading operations. Additionally, the BFV203 has been certified as an eligible product for subsidies from the All Japan Truck Association, allowing for reduced cost burdens upon implementation. It supports the enhancement of labor safety measures while alleviating the burden of introduction, thereby improving the safety of on-site operations. *Please check for the latest information on the system details. [Usage Scenarios] - Truck transportation operations within food factory premises - Safety management in receiving areas and shipping yards [Benefits of Implementation] - Ensuring worker safety and reducing accident risks - Supporting the prevention of oversights due to blind spots
basic information
【Function】 Detection targets: pedestrians, people riding motorcycles, bicycles, etc. Detection range: approximately 7m forward to approximately 12m backward (varies depending on installation position) Detection environment: illuminance of approximately 15 lux or more (around streetlight level at night) 【Identification Unit】 Power consumption: approximately 7.5W Input: +4/-1 (vehicle speed pulse) Output: FET +2 (maximum 0.2A, with overcurrent protection) Permissible voltage: +60V Dimensions and weight: 157.8×89.4×43.5mm / approximately 780g Temperature range: operating -20 to +65℃, storage -40 to +90℃ 【Camera】 NTSC/CMOS approximately 350,000 pixels Dimensions and weight: 23×23×32.6mm / approximately 54g Temperature: operating -20 to +70℃, storage -30 to +80℃ 【Indicator】 Warning: red LED 15×20mm Status: red LED φ3mm Dimensions and weight: 35×12×75mm / approximately 20g 【Monitor】 NTSC/7 inches (154×86mm) Dimensions and weight: 174×125×27mm / approximately 0.5kg Temperature: operating -10 to +60℃, storage -20 to +70℃
Price range
Delivery Time
Model number/Brand name
BFV203
Applications/Examples of results
- The AI automatically recognizes pedestrians, bicycles, and motorcycles entering the side or rear of the truck while it is in motion. It captures movements in positions that are difficult to see in mirrors, allowing for early detection of contact or entrapment risks. - The moment a detection occurs, the system alerts the driver through audio and visual displays inside the vehicle. This helps compensate for oversight or delayed judgment, serving as a safety support to prevent accidents before they happen. - It detects the approach of workers in logistics centers, on-site yards, and loading areas. It supports safety checks in particularly dangerous situations, such as during reversing or maneuvering. - It can reliably detect even in nighttime or dimly lit areas (with illumination of 15 Lux or more). It accommodates a wide range of operating hours, including early morning departures and late-night deliveries.
catalog(3)
Download All CatalogsRecommended products
Distributors
Pal Giken is a group of engineers that realizes customers' dreams through manufacturing technology. We provide a unique product, a "one-and-only product," that meets the specific needs of our customers, rather than offering something that exists in multiple forms in the world.

































