Optical Sorting for PET Bottle Recycling

Using time-varying airflow control to sort objects in a stream like recyclables by modifying the sequence and intensity of air jets based on object characteristics. Cameras capture images of objects on a conveyor. Object attributes like material type and shape are determined. A customized airflow sequence is calculated for each object to steer it to the correct destination using an array of air jets. The sequence is modified based on the object's properties to optimize sorting. The jets are then activated in sync with the object's motion to sort it using dynamic air guidance.

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Automatic sorting system for recycling bottles and cans that can accurately separate and sort different types of bottles and cans based on material and color. The system uses a series of sorting devices like crushers, separators, and photoelectric sensors to automatically sort the recyclables into large categories and then further separate and sort the items within each category based on their properties. This allows effective sorting of bottles and cans made of different materials and colors.

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Sorting equipment for recycling waste beverage bottles that improves accuracy and efficiency compared to existing systems. The sorting machine has a conveyor belt with a separator at the upper end. A sorting box above the belt feed point contains a rotating disc with bristles and a spray nozzle. The disc cleans bottles as they enter, reducing dust on the sensors. The bristles also brush the bottles, improving color identification accuracy. A compression ring squeezes bottles to reduce size for better storage capacity.

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Recycling plastic bottle sorting device that can sort three products using a circular processing loop to reduce device size and cost compared to sequential sorting. The device has a conveyor belt with sorting chambers, visual identification, and a return fan. Bottles fall on the conveyor, are sorted, then misclassified bottles are returned to the sorting chambers. This circular loop allows secondary sorting of misclassified bottles without needing additional equipment.

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A sorting machine for automated sorting of recyclable materials like plastic bottles. The machine has a conveyor system, image processing, and a material removal device to accurately sort and remove labels from bottles. The image processing uses a camera and lighting to capture images of the conveyed materials, identify labels, and generate rejection signals. An air blast device blows on the identified materials to dislodge them and change their trajectory. This allows separating bottles with labels from unlabeled ones. The machine also has vibration, lifting, and feeding components to prepare the materials for sorting.

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Intelligent sorting device for waste plastic bottles that uses image recognition to accurately sort and separate plastic bottles of different materials without relying on manual labor. The device has a mechanical transmission module to move the bottles, an image recognition module with cameras and spectrometers to capture images and spectra, and a control module to process the data and drive actuators for sorting. It uses multispectral imaging to identify the plastic material based on absorption peaks in near-infrared light. This allows automated sorting of different types of plastic bottles without relying on manual labor.

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Intelligent recycled plastic sorting robot system that uses spectral imaging and delta robots to accurately and quickly sort various types of plastic waste. The system has a conveyor, a SWIR camera to capture spectral images of the plastics, a sorting unit to classify the plastics based on the spectral data, and a delta robot with a vacuum gripper to sort and move the plastics. The delta robot has a base, drive motors, shoulder brackets, shoulder frames, shoulder end brackets, load arms, an elastic unit, and a vacuum gripper. The gripper has an arm bracket, a buffer, a vacuum generating nozzle, and an elastic cup. The elastic cup allows suction through the bottom port and compresses to release suction. This enables precise vacuum gripping and sorting of different plastic types using spectral imaging.

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Automatic sorting and separation system for recycled PET that uses AI to select and separate PET of specific colors while removing other waste. The system uses cameras and sensors on a conveyor to analyze the color and material of PET waste as it moves. An AI model identifies PET and its color based on images and spectra. Location data is used to focus the sensors on PET of a desired color. Robots then pick up PET in that area, leaving behind non-PET and PET of other colors.

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Sorting device for recycling PET plastic using artificial intelligence to selectively collect only PET of a designated color. The device uses image analysis and spectral sensing to identify and sort PET waste. It learns to recognize typical PET colors using a color algorithm. When waste is fed on a conveyor, the device acquires images, extracts colored regions, sets light irradiation areas for those colors, and uses a spectral sensor to confirm PET presence. It then uses geometry to convert conveyor coordinates to robot pickup locations for sorting. This enables automated sorting of specific-color PET from mixed waste streams.

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A sorting and recovering apparatus for recyclables like PET bottles that can sort, crush, wash, and dry recyclables while separating and discharging suspended matter and sediment generated during the process. It improves efficiency by simultaneously injecting washing water and pulverized recyclables, generating centrifugal force to float impurities, and discharging them separately. It also improves antibacterial and deodorizing efficiency by mixing recyclables with antibacterial materials.

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AI-based PET bottle collection system that improves the sorting accuracy of PET bottles based on AI and separates and collects PET bottles made of different materials. The system includes a body frame, an inlet, and a transfer module.

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Automated sorting system for recycled PET that uses AI to select and separate only PET of a specific color. It uses vision and spectral sensors to analyze the waste, and a learning model to sort irregular plastics. The system photographs PET waste, learns to identify colors, extracts location info, irradiates light in that area, analyzes spectrum, and determines if PET. It then sets sorting coordinates for a robot to pick up non-PET.

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Sorting mixed plastic packaging waste into pure fractions for efficient recycling. The sorting process involves multiple steps including air classification to separate lower density films, followed by optical sorting to distinguish and separate different plastic types like PET trays, clear PET, colored PET, PP, PS, and MPO. This allows targeted recycling of specific plastic materials with purity requirements. The process can involve multiple passes through optical sorters to further refine sorting and remove impurities.

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Recycling waste sorting device that improves efficiency and quality by accurately identifying and removing recyclables using a multi-camera sensor, vertical adsorption control, and load balancing. The device has a conveyor, multi-camera sensor, and multiple robotic grippers. The sensor captures RGB and NIR images to detect recyclable type and color. It also captures depth to determine object height. The gripper has a bellows-shaped adsorber with negative pressure. The controller sequentially assigns objects to grippers based on proximity. It stops and reassigns if a gripper drops an object. This prevents overloading and minimizes movement. The depth sensor allows precise vertical adsorption control. By detecting color, thickness, and proximity, the sorting device can more accurately identify and remove recyclables.

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Automated system for sorting waste plastic bottles to improve purity of recycled plastic. The system involves crushing, density sorting, washing, dehydration, and further sorting to separate and recycle the crushed bottle fragments and labels. The washing uses steam and friction to physically remove stickers without chemicals. This allows recycling of the fragments and labels separately for higher purity.

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Automatic sorting device to separate PET bottles into colored and transparent bottles, and further sort transparent bottles into labeled and unlabeled. The device has multiple stages of conveyors, sorting units, and opening/closing parts to sort the bottles based on color and label presence. It uses cameras to detect bottle properties. A cutting unit removes bottle caps for recycling efficiency.

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An automated color sorting machine for recycling PET plastic bottles that uses a CCD camera, processing mechanism, drive mechanism, storage mechanism, and recovery mechanism to sort the chips by color. It improves efficiency and reduces manual input compared to traditional sorting methods. The chips are fed into the machine, imaged by the camera, processed, and sorted into separate color streams using the mechanisms. This allows automated separation and recovery of pure color PET flakes from mixed recycled material.

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Extensive sorting method and apparatus for efficiently separating and recovering different types of plastic packaging waste from mixed waste streams. The method involves using near-infrared (NIR) spectroscopy to analyze the mixed waste and identify the different plastic types. Then, physical separation is performed based on the NIR analysis to remove and sort the identified plastic types. This allows separating hard-to-sort plastics like black PP, black PE, and opaque PET bottles using NIR analysis. The sorted plastics can then be recycled separately. The apparatus has NIR sensing, sorting, and recycling equipment integrated.

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Method for manufacturing high quality recycled PET pellets using waste PET bottles. The method involves sorting only transparent PET bottles from mixed waste, pulverizing the bottles into flakes, wet grinding at low temperature, centrifuging to remove impurities, drying, crystallization, chip formation, and finally pelletizing with a hydrolysis inhibitor. This precise screening and purification process ensures pure transparent PET is used, preventing contaminants that degrade pellet quality.

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Recycling assembly for sorting and feeding plastic bottles in a more efficient and reliable way compared to traditional methods. The assembly has multiple stages with optimized components like feeding, sorting, and conveying to improve the sorting of plastic bottles. It uses two centrifugal discs to sort the bottles instead of one, increases capacity, and prevents stacking. A limited feeding device screens out oversized bottles. The conveyor belt has a barrier to control feed amount. Detection frames sort the detected bottles. This assembly provides better sorting and feeding of plastic bottles for recycling.

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Recycling method and system for producing food-grade plastic raw material from used PET bottles. The recycling process involves multiple steps of cleaning, crushing, washing, dehydration, and sorting to obtain high-quality recycled PET suitable for food contact applications. The steps include trommel screening, label removal, photoelectric sorting, high-temperature washing, pulverizing, flotation washing, secondary washing, dehydration, and wind separation. This multi-stage process removes impurities like labels, caps, and contaminants to meet food-grade standards.

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A recycling system for identifying and sorting plastic bottles that can precisely and efficiently remove foreign objects, separate by brand, material, aging level, and type. The system uses multiple cameras positioned on a conveyor line to scan and analyze the bottles. An infrared camera detects foreign objects, a UV camera identifies aging level, a visible light camera distinguishes brands, and a hyperspectral camera identifies material type. A control module analyzes the camera data to sort the bottles based on these factors. This allows refined sorting of original plastic bottles without flattening.

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Intelligent recyclable plastic bottle sorting and recycling system that improves efficiency and accuracy of sorting plastic bottles for recycling. The system has an intelligent identification unit that identifies the content of different plastic bottles. It then sends instructions to a photoelectric sorting unit to select specific types of bottles based on their contents. This allows inverse selection where less common contents are prioritized instead of the most common one. This improves sorting efficiency by shortening the selection time and reducing missed items. The system also includes units for debris removal, AI robot sorting, and manual sorting to further enhance sorting accuracy.

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Recycling and sorting assembly for plastic bottles that improves efficiency and quality of sorting. The assembly has features like a queuing conveyor to stabilize bottle feeding, a dual centrifuge arrangement for better sorting, a detection device to sort by type, and baffles to prevent backflow. The dual centrifuges have side-by-side sorting belts with different rotations to optimize sorting capacity. The detection conveyor receives sorted bottles and a sorting conveyor below separates by type. The assembly aims to address issues like poor lining, stacking, and oversized bottles in traditional recycling.

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Sorting assembly for recycling waste plastic bottles that improves efficiency and refinement by automatically screening out abnormal bottles. The assembly has conveyors for sorting and collecting regular bottles, but also a separate screening conveyor with a mechanism to capture and remove abnormal bottles. This screening conveyor has a higher rear end and splitter plate to funnel regular bottles into the sorting conveyor while dropping abnormal ones. Cameras and a manipulator identify and remove abnormal bottles. This prevents them from entering the regular sorting and contaminating the stream.

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Automated system for recovering and managing PET bottle resources in a way that reduces costs and enables efficient recycling. The system involves a device that accepts PET bottles, scans them to check for labels, caps, and foreign material, crushes the bottles based on the scan results, and discharges them. This allows recovering the bottles in a form that can be directly used as high-quality recycled raw material without additional processing or cost. The scanning also enables compensation calculations for users based on bottle size.

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Sorting plastic objects based on their type, color, and intended use using a low-cost and practical method. It involves detecting the type of plastic by measuring the reflected or transmitted intensities in specific wavelength ranges (optical windows) instead of using expensive infrared cameras. This allows sorting of individual plastic objects without requiring a line scanner. The method also enables controlling the proportion of recycled material in a new plastic product by adding a marker to the recycled material and detecting its concentration. The marker concentration is then adjusted based on the detected level.

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Sorting of plastic objects using near infrared spectroscopy to accurately and efficiently separate and recycle different types of plastic waste. The sorting method involves illuminating the plastic objects with near infrared light, detecting the reflected light spectra in the 600-1000nm range, comparing the spectra against a database of known plastic types, and sorting the objects based on the matches. This enables fast and accurate sorting of opaque, transparent, colored, and constituent materials like PET, HDPE, LDPE, PVC, PP, and PS. The near infrared range allows sorting darker plastics compared to visible light.

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Refined sorting and recycling assembly for waste plastic bottles to improve efficiency and refinement of sorting and recycling. The assembly consists of stages like abnormal specimen screening, multi-stage sorting, and identification/classification. It uses conveyors, cameras, sensors, and manipulators to accurately sort and separate waste plastic bottles into different categories. The assembly also has features like climbing conveyors, baffles, and splitters to guide and sort the bottles. The stages are arranged sequentially with height and speed reducing to improve efficiency. The assembly aims to provide automated, refined sorting of plastic bottles for higher quality recycling.

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An automated system for sorting and identifying waste plastic bottles to improve recycling quality and value. The system uses cameras and lights to detect debris inside bottles and classify the bottles. An infrared camera and light illuminate the bottles to check for foreign objects. A regular camera and light are used to identify the bottle type. The sorting conveyor has barriers dividing it into channels. This allows multiple bottles to be sorted simultaneously. The cameras and lights are mounted on a frame above the conveyor. The system improves recycling quality by catching contaminants and accurately identifying the bottles.

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Automated plastic bottle sorting system using vision technology to accurately and efficiently sort waste plastic bottles based on color. The system has a collection device, conveyor, vision module, control module, sorting module, and collection module. The vision module uses image processing to determine the color of bottles on the conveyor. The control module receives the color info and positions the sorting module to sort the bottles based on the target and location. The collection module stores the sorted bottles. This eliminates manual sorting and provides high-speed, accurate sorting for plastic bottle recycling.

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Automated sorting device for recycling waste beverage bottles using deep learning to accurately identify and sort different types of waste bottles at high speed and efficiency. The device uses multiple cameras and computers for image recognition, followed by a landslide sorting conveyor with pneumatic ejection devices. Deep learning algorithms calculate the center of mass of each bottle based on images, then pneumatic strikes eject the bottles out of the sorting area. This allows automated sorting of complex-shaped waste bottles with high accuracy and throughput.

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An empty bottle sorting and recycling machine that automatically identifies the material of an empty bottle, classifies bottles of different materials to avoid mixing, crushes the bottles to separate liquid, compresses the crushed material, and extracts liquid from the crushed bottles. This prevents mixed material bottles, separates liquid, compacts crushed bottles, and reduces space requirements compared to uncompressed bottles. The machine has a telescoping sorting arm, crushing chamber, filter, and compressed storage bin.

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Recycling waste plastics that can be used for rapidly and efficiently identifying, classifying, screening and automatically collecting the screened mixed plastics (PP, PET, PE, PA and PVC) according to different types of plastics through near-infrared sensor spectrum identification so as to meet the requirements of waste plastics recycling on scale and low cost. The recycling includes receiving mixed waste plastics from mixed waste plastics, identifying plastic fragments through a near infrared sensor, selecting and recycling the plastic fragments by the infrared screening mechanical arm, and storing the mixed waste plastics in a storage box.

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An intelligent recycling machine for plastic bottles that uses image recognition to sort and process different types of plastic bottles more efficiently. The machine has a recycling device, controller, cloud, and user terminal. It uses cameras to capture images of the bottles and sends them to the cloud for classification. The cloud identifies the type of bottle and sends instructions back to the machine on how to process it. This allows the machine to handle a variety of bottle shapes and sizes without manual sorting.

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Automated system for sorting plastic waste by type to increase recycling efficiency. The system uses optical sorters with scanners to sort plastic containers like PET, PP, PE, and PS separately. It pre-sorts containers by shape to remove non-container plastics. Then, the containers are sorted by type using dedicated sorters for each resin. This allows automated, efficient sorting by resin for recycling compared to manual sorting of mixed waste.

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Sorting system and method for efficiently separating desired PET bottles from garbage waste. The system uses imaging analysis to identify and reject non-conforming PET bottles with issues like film, labels, caps, dirt, etc. A first analysis step extracts bottles with issues like film, labels, stains. A second analysis step detects capped vs uncapped bottles using trained machine learning. The identified non-conforming bottles are then removed by a robot. The analysis steps can be executed by processors using trained programs.

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A sorting system for waste plastic bottles that accurately separates and sorts different colored and material waste plastic bottles without manual intervention. The system uses vision and material detection to analyze the color, shape, and material of the bottles. A control unit generates sorting targets based on the detection data and dynamically positions the robotic sorter to precisely extract and sort the bottles. The detection modules are above the conveyor belt and the light source is on the belt to inspect the bottles.

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Intelligent plastic bottle sorting system using image recognition to automatically sort and collect different types of plastic bottles for recycling. The system has a plastic bottle recycling device with a mechanism that rotates based on electromagnetic activation. A camera captures images of the bottles, classifies them, and triggers the appropriate electromagnet to attract the bottle. This rotates the mechanism to open a specific collection hole for that type of bottle. The bottles slide down an inclined surface and fall into the opened hole for separate collection.

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Automatic sorting device for recycling waste plastic bottles using computer vision and near infrared (NIR) technology to automatically sort waste plastic bottles based on color and material. The device has components like a breaker, linear vibrating feeder, high-speed camera, belt conveyor, NIR detector, air sorting machine, and remote control terminal. The conveyor has the camera and NIR detector to identify the bottles by color and material.

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Sorting recycling waste by plastic material with high precision and efficiency. The method involves using a combination of rotary separator and optical sorters to sort plastics by volume and then material. The process breaks bags, separates plastics by size, then further separates by optical sensing for specific materials like PET, PE, and PP. This allows sorting large-scale plastics with high precision by minimizing manual sorting.

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Sorting device for efficiently separating empty cans and waste PET bottles from a mixed stream. The device uses multiple pairs of photoelectric sensors arranged vertically below the conveyor end. Each pair has a strong sensor and a weaker sensor. The strong sensor detects cans while the weaker sensor detects attenuated light from PET bottles. Pulse air injection is used to blow off identified PET bottles. The sensors are spaced apart in the conveyor width to avoid overlap. A controller sends air injection commands based on sensor readings. This allows accurate sorting of side-by-side containers. A conveyor leveler prevents stacking issues.

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Sorting system for waste plastic bottles that uses vision and material detection to accurately sort colored and transparent bottles without manual picking. The system has a conveyor, detection unit, sorting unit, and control unit. The detection unit has a vision module to collect color, shape, and position info, and a material module for analyzing bottle material. The control unit generates sorting targets based on detection data and the sorting unit accurately sorts the bottles using that information. This automated sorting eliminates misselection compared to pneumatic sorting. The conveyor has lights above it for detection modules to analyze.

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An artificial intelligence method for sorting waste plastic bottles using a system with a conveyor, detection unit, and mechanical sorting unit. The detection unit has a camera for visual inspection and an infrared sensor for material analysis. It collects color, shape, position, and material information from the bottles. The system control unit receives this data and sorts the bottles using the mechanical unit based on the analyzed characteristics.

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Sorter for recycling PET bottles that avoids waste by collecting sorted bottles instead of discarding them. The sorter has a main sorting channel and parallel waste recycling channel connected to the sorting channel outlet. Bottles that don't meet sorting requirements are diverted to the waste channel. A collection device at the end of the waste channel gathers the sorted bottles. This prevents the waste of recyclable PET and reduces environmental pollution compared to discarding sorted bottles.

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A method for sorting recyclable waste into separate types using optical sorters to increase efficiency and purity. The method involves breaking open garbage bags, dispersing the contents, sorting plastics from non-plastics, sorting waste paper, sorting shapes (like bottles) using wind power, sorting pet, pp, pe, ps using optical sorters, and sorting iron cans and glass. The steps are done in sequence to leverage mechanical sorting for recyclables like plastics, then optical sorting for finer distinctions like shapes. The dispersing step prevents clumping in later sorting steps. The method is implemented using machines like breaking devices, dispensers, optical sorters, shape sorters, and conveyors.

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A sorting device for recycling PET bottle flakes that integrates sorting and cleaning into a single machine to improve efficiency and purity. The device has a screening machine with a vibrator, sieve plates, and leak plates. The screening machine separates different sizes of flakes into tanks. Water sprayers clean the flakes. The leak plates prevent larger flakes from escaping. The device also has feeding and discharging troughs to move the flakes without contacting the dryer. This seamless sorting and cleaning process saves cost and improves flake purity compared to separate machines.

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A method for producing PET flakes from recycled PET bottles with high quality and efficiency. The method involves multiple cleaning steps to remove contaminants and sort the PET. It includes initial color separation, initial cleaning, crushing, cleaning, and mechanical color separation. The cleaning steps are done at different temperatures and solutions to separate PET from non-PET materials based on density and adhesive properties. This allows rapid screening of PET sheets with improved quality for subsequent processing.

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Automatic plastic bottle color sorting device for recycling that uses cameras, image processing, and moving baffles to separate colored and clear bottles. The device has a conveyor belt, camera above, frames below, and a movable baffle. Cameras capture real-time images of bottles, process them to determine color, and control the baffle motion to sort the bottles into separate compartments based on color.

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Intelligent recycling machine that can sort and separate beverage bottles by material (plastic, glass, metal) without human intervention. The machine has a rotating drum with baffles and sensors to detect the type of bottle as it rolls. Metal bottles go to one side, glass bottles go to another, and plastic bottles go to a third. The drum rotates to move the bottles to the appropriate storage bins. The machine has motors, gearboxes, and drives to control the drum and pendulum movements. A microcontroller coordinates the sorting process based on sensor feedback.

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