Industry Background & Pain Points

Waste plastic films (PE films, composite films, agricultural films, etc.) are recognized as "low-value" waste in the recycling industry. According to statistics, China produces over 20 million tons of waste plastic film annually, but the recycling rate is less than 30%. Traditional sorting methods face the following challenges:

• Lightweight, flexible films easily drift and tangle in air-flow and vibration sorting
• Multi-layer composite films are difficult to separate; traditional NIR technology has limited identification capability
• Dark films (e.g., black agricultural film) absorb near-infrared light, causing identification difficulties
• Impurity-laden films have low purity and low selling prices, further reducing recycling incentives

Solution Architecture

Based on ZD-RH hyperspectral imaging equipment and self-developed AI algorithms, Baicheye has launched an online sorting system specifically designed for films. The system uses "spectral fingerprint" identification technology to precisely differentiate films of different materials.

• Hyperspectral Image Acquisition: Full 400-1000nm spectral acquisition, capturing film "spectral fingerprints"
• AI Material Identification: Deep learning models accurately identify PE, PP, PVC, PA, and other materials
• Intelligent Air Knife Sorting: High-speed air knife precisely removes impurities with adjustable sorting precision
• Data Monitoring Platform: Real-time display of throughput, purity, equipment status, supporting remote O&M

Core Advantages

• High Identification Rate: Identification rate for composite films and dark films improved by 30%+ over traditional NIR
• High Purity: Film purity up to 97%+, significantly increasing recycling value
• High Throughput: Single-channel capacity of 1-3 tons/hour, supporting multi-channel expansion
• Low Maintenance: Modular design, low failure rate, easy spare part replacement
• Easy Integration: Compatible with existing lines, also usable as a standalone sorting station

Benefit Analysis

Using a major recycling enterprise as an example, after introducing the Baicheye film sorting system:

• Film recycling purity: Improved from 85% to 98%+
• Recycled material selling price: Increased by approximately ¥500/ton
• Annual revenue increase: Based on 10 tons/day of film processing, approximately ¥1.5 million/year additional revenue
• Payback period: Approximately 8-12 months

Industry Background & Pain Points

PET (polyester) is one of the highest-value recyclable plastics, widely used in beverage bottles, textile fibers, and other fields. With the growing demand for rPET (recycled PET), requirements for PET flake purity are increasingly stringent:

• PVC is the most common impurity in PET recycling; PET contaminated with PVC cannot be used for food-grade regeneration
• Traditional photoelectric color sorters have limited ability to identify light-colored impurities
• Different colored PET flakes need to be separated for higher value recovery
• Residual labels, caps, and other contaminants affect purity

Solution Architecture

• Full Material Hyperspectral Identification: Simultaneously identifies PVC, PE, PS, PP, PA, and all common impurities
• Color Separation: Automatically separates transparent PET, light-colored PET, and dark-colored PET flakes
• Fine Removal: Minimum rejection size down to 3mm, ensuring thorough impurity removal
• Adjustable Throughput: Single-channel 500-2000 kg/h, flexibly matching different capacity requirements

Benefit Analysis

• PET flake purity up to 99.5%+, meeting food-grade requirements
• Impurity rejection rate above 99%
• rPET selling price increased by 30-50%
• Payback period 6-12 months

Industry Background & Pain Points

• Home appliance dismantling products contain ABS, HIPS, PP, PE, and other plastics that are difficult to separate
• Mixed plastics sell at low prices; separation can increase value by 3-5 times
• Traditional sorting methods are inefficient with high labor costs
• Some black plastics cannot be identified by traditional NIR equipment

Solution Architecture

• Full Spectrum Acquisition: 400-1700nm extended wavelength range, covering SWIR near-infrared region
• Multi-Material Identification: Identifies 8-12 different plastic materials in a single scan
• Intelligent Classification: Custom-defined sorting categories and precision based on customer requirements
• Line Integration: Complete sorting line design, installation, and commissioning services

Technology Breakthrough

Black plastics, due to added carbon black pigments, strongly absorb traditional near-infrared light and have always been a challenge in the sorting industry. Hyperspectral technology achieves breakthroughs through the following approaches:

• Extended Spectral Range: Using 400-1700nm wide wavelength band to capture more spectral information
• Special Light Source Design: Optimized light source angle and intensity to reduce specular reflection interference from black surfaces
• Deep Learning Algorithms: Dedicated AI models trained on black plastic samples
• Multi-Angle Acquisition: Collecting spectral data from multiple angles for comprehensive material judgment