Another layer of reassurance for your usual tasks. Safety measures for trucks in agricultural settings.
In agricultural settings where people and vehicles often work in the same space, strengthening safety measures has become an important issue. With trucks being routinely used for transporting and collecting harvested goods, as well as for delivering materials, the risk of accidents due to blind spots increases during reverse driving and turning. The BFV-203 is a collision warning system that detects individuals around the vehicle using camera and AI technology, and alerts the driver with audio and visual warnings when someone enters a danger zone. It supplements blind spots that cannot be fully understood through visual checks or mirrors, helping to prevent accidents before they occur. This product has been selected as an eligible device for grants from the All Japan Truck Association. By balancing improved safety and reduced implementation burdens, it contributes to creating a safe working environment in agriculture. *Please check the latest information for detailed conditions of the program. [Usage Scenarios] - Collection and transportation of harvested goods - Unloading operations at collection and sorting sites - Loading and unloading operations at warehouses and refrigeration facilities [Effects of Implementation] - Reduces the risk of collision and contact accidents involving trucks - Supports drivers in ensuring safety, enhancing the sense of security for workers
Inquire About This Product
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
Applications/Examples of results
- The AI automatically recognizes pedestrians, bicycles, and motorcycles entering the side or rear of the truck while driving. It captures movements in positions that are difficult to see in mirrors, enabling early detection of contact or entrapment risks. - The moment a detection occurs, it alerts the driver through audio and visual displays inside the vehicle. This serves as a safety support to compensate for oversight or delayed judgment, helping 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, especially in scenes that involve particular dangers, such as during reversing or maneuvering. - It can reliably detect even in nighttime or dimly lit areas (with illumination above 15 Lux). It accommodates a wide range of operating hours, including early morning departures and late-night deliveries.
catalog（3）
Download All Catalogs
News about this product（1）
Company information
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.
![[For the packaging industry] Streamlining loading operations! Truck safety support system](https://image.mono.ipros.com/public/product/image/2001601245/IPROS17780018585954719947.png?w=280&h=280)
