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We are a major manufacturer of multi-use color sorter, based in China. We offer various types of products such as multi-use color sorter, rice color sorter, belt-type color sorter and so on. Our products are high quality and competitively priced. Our full chain of manufacturing plastic color sorter, X-ray food processing machine can be completed in China, even in one city. Our lower manufacturing cost can save your purchasing cost. More detailed description of our product is show on our websites.

Our company has accumulated more than ten years experience of mechanical production, and passed the ISO9001:2000 quality management system certification. Most machines are exported to several countries around the world; examination shows that our technology has reached the international advanced level.

Jietai Technology offers the rice color sorter machine for effectively separating defects of black tipped, chalky, yellow, mouse droppings, immature grain, etc. Our color sorting machine for rice or grains is striving to get great solutions and high quality purified rice. Hence, it is possible to sort out miscellaneous cereals and all the foreign bodies contained in polished rice simultaneously the first time in the world.

Sorting accuracy at the speed of light using timing-designed cameras, products are scanned 100,000 times per second, creating sorting accuracy that is unachievable by any other method. Images are converted using high speed, 2048 pixel, and high-resolution CCD technology, for extreme accuracy in detecting down to 0.12mm defects. Our machines are capable of offering good accuracy and high sensitivity specifications to keep pace with the international standard. 

For food industry and plastic recycling, the color sorter machine is widely used to sorter different color of defective items. It can be applied for many materials such as tea, rice, cereal, grain, beans, nuts and non-food like plastic materials: PE, PVC, PP, etc. In general, the machine takes good advantage of CCD technology to color sorting solutions. The CCD in your camera has the function of measuring light at three separate wavelengths of red, green, and blue. That is to say, this is able to recognize color while separate defective items.

The system is added to special algorithm, such as shape selection, area algorithm in order to solve sorting problems like sorting some specific materials like beans according to their shapes, color, and area at the same time and make multi species color sorting to accomplish.

At present, there are several types of color sorter machines in the industry, from beans color sorter machine, rice color sorter machine to plastic color sorter machine. However, no matter which type is it, the main idea of working color sorter is the same. The basic working principle is: the color difference between good item which is purity and defective item (unwanted). To get started the sorting solution, the color sorter machine should translate the photo signal to electronic signal by photo-sensor and other complex element; then due to there is difference between good materials and bad materials, so corresponding there is also a difference good materials' electronic current. And we can adjust some degree electronic current is “safe” (good materials) and other is “dangerous” (defective or unwanted materials).

At last, when the electronic current is "safe", there is nothing happens and rice will successfully fall down to the accepted output; but if the electronic current is "dangerous", the ejector will be driven to blow away the bad or unwanted materials.

The general image of Taipei in my mind was filled with motorcycles and people in the narrow paths and sidewalks. However, Taipei journey in recent days broke my thoughts toward Taipei. I had great impression in Taipei, especially the apartment rentals we booked, the good taste we had and the historical cultures we admired.

Among of my travel in Taiwan, I spent my entire day exploring Taipei’s NationalPalaceMuseum, which is famous for its heritage, historical antiques and pieces of art. I fully indulged myself in the old days of Chinese history and experienced the world-renowned magnificent palace. For the last day of dinner, we had Din Tai Fung near our serviced hotel in Xinyi district to taste the exceptional gourmet, the elite of Chinese food, dumpling, dim sum items and hot and sour soup. All the dishes are very delicious! It made the best ending of my Taipei trip.

For the different shapes of tea leaves and tea stems, in combination with the spectral feature of image, the tea color sorter machine determines the shape and color algorithm to identify accurately defects in the materials. Different tea varieties are all available from original material, tea color sorting to final rejection to the end good product. This machine features to use the micro aberration distinguishing technology to effectively solve the sorting of tea with stems.

Otherwise, the tea color sorter machine adopts double layer and double sided with 360 degree view of identification to substantially increase the sorting performance. We use both the double-layer sorting system to complete sorting of materials and dedicated feed system ensuring uniformity of materials at one time to reduce damage to tea leaves.

Jietai Intelligent Technology equipped cereal color sorter machine view in both monochromatic ‘visible' light and NIR wavelength(s) simultaneously. NIR can be used to remove defective and foreign material that is the same visible color as the good cereal products. Examples include clear glass in white rice, brown stones in peanuts, mould damage in almonds, cob in corn grits, burnt material in flaked breakfast cereals, etc.

Foreign material can react differently to varying NIR wavelengths and therefore our tri-chromatic machines sort in two different mono wavelengths plus one NIR or one mono plus two different NIR wavelengths at the same time. Our tri-chromatic technology has an enviable reputation in the cereal and grains sorting industry, in many cases completely removing the need for manual inspection tables.

Near-Infrared (NIR) sensor technology coupled with highly sensitive algorithms are likely the most efficient and consistent plastic sorting technologies due to their high sorting accuracy in separating desired plastics from mixed waste, as well as sorting plastics by color and resin types. Identification algorithms then rapidly categorize the different “signatures” of polymers from their infrared spectra.

While other sensor based sorting technologies, such as x-ray, laser, and light emitting device (LED), are capable of distinguishing between colors and densities, NIR with identification algorithms is likely to be the most consistent, accurate, and time-efficient of the various sensor based sorting options in terms of sorting plastics. Lasers and LED have the ability to detect color differences but cannot determine the different resin types of plastics. X-ray technology can decipher plastics from non-plastics but it cannot distinguish different colors and resin types, therefore lessening its overall efficiency in effective plastic sorting. NIR sensors used with identification algorithms are able to consistently complete all necessary tasks in the sorting of plastics. 

Around 1930, the idea of a machine able to sort by color was introduced in the US. By 1937, the first color sorting machine was made in England. The first color sorting machine was introduced to Japan in 1966 and the usage of these machines has since spread worldwide. Put simply, color sorting machines can detect and remove materials based on colors and visual elements not previously possible with conventional sorting machines. 

The final steps in coffee processing involve removing the last layers of dry skin and remaining fruit residue from the now dry coffee, and cleaning and sorting it. These steps are often called dry milling to distinguish them from the steps that take place before drying, which collectively are called wet milling.

The first step in dry milling is removing what is left of the fruit from the bean, whether simply the crumbly parchment skin in the case of wet-processed coffee, the parchment skin and dried mucilage in the case of semi-dry-processed coffee, or the entire dry, leathery fruit covering in the case of dry-processed coffee.

Most fine coffee goes through a beans sorter machine that sort the coffee by density of bean and by bean size, all the while removing sticks, rocks, nails, and miscellaneous debris that may have become mixed with the coffee during drying. First machines blow the beans into the air; those that fall into bins closest to the air source are heaviest and biggest; the lightest (and likely defective) beans plus chaff are blown in the farthest bin. Other machines shake the beans through a series of sieves, sorting them by size. Finally, an ingenious machine called a gravity separator shakes the sized beans on a tilted table, so that the heaviest, densest and best vibrate to one side of the pulsating table, and the lightest to the other.

Installation:

While you are installing the tea color sorter machine, please avoid vibration and other interference in order to keep a good working condition of the equipment.

Environment:

Nowadays, the idea of environmental protection increasingly becomes a big and important issue due to the deterioration of environment and abnormal climate. Hence, everyone should go green since the ordinary days; for instance, separate the recycled products like plastic bottles from normal garbage in different garbage can. Accordingly, the recycled plastics will be transferred into the plants for processing which covers the solutions of plastic color sorting.

The plastic color sorting machine is able to work on various kinds of recycled plastics, including colorful PE bottle caps, PET bottle flakes, ABS crushing material, PP milk bottle flakes, transparent organic glass and a variety of other colorful mixed plastics; no matter they are pallets or flakes.

Peanuts are always the good partners for people watching television or some recreations with good taste or added ingredient for cooking. You may buy it in traditional market or supermarket without knowing the resource. In general, peanuts will be processed with the sorting solutions to pick out the purified and clean ones. The peanut sorting processing is applied to shelled peanuts, peanuts kernels, or blanched peanuts.

Without the peanut color sorting machine, it needs hand picking which consumes high labor cost with low accuracy. The automatic color sorting technology solves the problems of labor cost and improves the working efficiency by directly packing the processed peanuts and further lowers the troubles with employee management. Besides, the color sorter machine is not only used in peanuts, but also widely applied in fruits, coffee beans, soybeans, tea leaves, sea food, and plastic recycling.

When it comes to sorting tomatoes, the important ways to evaluate sorting systems is the gentle processing plus accuracy of  color sorting  and weight sizing. Most of tomatoes in market are fragile and delicate fruit so it deserves the special and careful handling systems to avoid the damage.

Tomatoes is normally be sorted on the basis of the color, weight, diameter (minimum or maximum) to detect the blemishes and drawbacks with a variety of packing options available. The complete processing systems include place packing single or double layer packs or semi-automated volume filling where the computer weighs each carton automatically before palletizing. The color sorting machine is the crucial invention that makes fruit packers find the extraordinarily good value to replace hand sorting and to make the final product consistently superior compared to hand packing.

現代人習慣在使用Google Map定位目的地或是搜尋附近店家，不難發現最近Google Map上多了一項功能──「瀏覽內部實景」，點進去後能立即走進店家內部，用滑鼠點擊就能在店內自由走動，觀看細部的裝潢擺設，在線上親身感受店內氛圍，成為消費者在選擇餐廳、旅館民宿時一項重大指標。

「這是Google一項革命性的創舉」，台北數位集團產品經理盧新佩表示，繼Google地圖、Google街景之後，Google將原先的街景服務概念延伸帶入店家內部，讓網路使用者在線上便能身歷其境，跨越距離藩籬，實際體驗店家所營造的氛圍；這項服務推行於全球30多個國家，在國外廣泛應用許久，這次引入台灣市場，估計勢必會引發一股風潮。台北數位深入街頭巷尾，幫近千家的商店拍攝Google環景，其中包含餐廳、民宿、寵物、沙龍…等數十種行業，迅速拉近店家與消費者的距離。

店家環景攝影不同於一般攝影器材所拍攝的全景照片，在Google的系統輔助之下，使用者能夠自由地在店家內部走動，360度體驗空間呈現；以民宿旅館業為例，使用者除了可以清晰看到房間內部的擺設之外，更能走出房間，靈活穿梭於公共空間和私人空間，實際看見店家特色和設計巧思。盧經理表示：「當顧客花愈多時間在和店家互動時，店家愈能在顧客心中留下鮮明的印象，環景服務提高了顧客實際造訪的機率，有效將網路流量轉變為實際來客。」