HAIP BlackStudio 高光譜成像軟體
Function Overview:
HAIP BlackStudio 是一款專為高光譜成像設計的記錄與分析軟體,提供即時光譜數據擷取功能,適配 BlackIndustry 相機系列,滿足工業在線應用需求。其友好的使用者介面設計,讓用戶能輕鬆切換相機設定與數據分析;同時具備多標籤和視窗功能,支援對細節的深入分析,應用場景涵蓋植被農業、食品工業、地質學和環境監測等領域,是光學分選行業不可或缺的利器。
Description
BlackMobile V2
高光譜成像軟體開發用於 HAIP Solutions BlackIndustry 相機系列
HAIP BlackStudio 是一款專為高光譜成像設計的先進記錄軟體,提供即時光譜資料擷取。它專為與 BlackIndustry 相機系列配合使用而定制,適用於工業在線應用。

user interface
BlackStudio 軟體提供易於使用的介面和互動功能。該軟體的「捕獲」和「分析」標籤組織清晰,讓使用者在設定相機和分析資料之間輕鬆切換。
直播分類
借助 HAIP BlackStudio,可以對運行的高光譜相機掃描的物體進行即時分類。捕獲的數據可以顯示在“捕獲”選項卡的“瀑布”視窗中。
用途多樣
BlackStudio 軟體中的標籤和視窗(包括其特殊功能)為記錄和分類光譜資料提供了多種可能性,同時分析盡可能多的細節和資訊。
系統需求
高光譜成像軟體
- 作業系統:Windows 10 或更高版本
- 處理器:至少 Intel i5-1135G7 或同等處理器
- 記憶體 (RAM) 最低 16 GB RAM
- 儲存空間:1GB
- 顯示卡: 整合顯示卡
- 端口:1x GigE
- 顯示:1920 x 1080 像素或更高
即時數據擷取和分析-BlackMobile V2
BlackStudio 軟體專為 ENVI 格式影像的即時資料擷取和分析而設計。下面的影片顯示了對兩種不同塑膠類型的顆粒的分類,這是光學分選行業的常見任務。
Agriculture/Plant Testing
The phenotype of a plant such as a crop is an assessment of its many traits.
Its growth, health and nutritional status can usually be mapped in the visible and near-infrared ranges.
High Spectrum Imaging (HSI) is a state-of-the-art and information-rich technology for the early detection of weeds, pests, nutrition, water efficiency and diseases in crops, including digital plant phenotyping, pathogen detection, growth tracking, seed counting, seed germination, seedling classification and more!
Food Testing
High-spectrum imaging can be used to study a wide range of fruits and vegetables.
Chemical composition, adulteration, ripeness, freshness or damage.
It can also recognize foreign objects such as shell fragments, wood, stone, paper, metal or insects.
Recycling
The material range of waste constituents includes a wide variety of plastics, composites, organic materials (such as wood, paper and compost), mineral constituents, and ferrous and non-ferrous metals. Depending on the application, hyperspectral camera sorting criteria can be by type or color, facilitating the precise removal of off-color and foreign materials.
Integration Projects
Hyperspectral imaging can track environmental change and be used to understand surface carbon dioxide emissions, map hydrostructures, track water and air pollution levels, and assess fire risk.
Geological/Mineralogical Analysis
Iron-containing minerals have a characteristic spectrum, and hyperspectral cameras can be used to analyze minerals based on this spectrum, improving the efficiency of mining and geologic analysis.
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