1. Electrical box structural design Waterproof, dustproof, and corrosion-resistant (IP65 or higher protection level) Withstand high and low temperatures (-30℃~70℃) Lightning and electromagnetic interference protection design Core hardware modules Smart meter module: Supports real-time power consumption measurement, voltage/current monitoring Environmental Monitoring Module: Temperature and Humidity Sensors, Smoke/Arc Fault Detection Communication Module: 4G/5G/NB-IoT/LoRa Wireless Communication, Supports Remote Data Transmission Security Protection Module: Access Control Detection, Abnormal Opening Alarm Power Management Module: Supports Dual Power Supply of Solar Energy + Lithium Battery, Ensures Operation During Power Outages 2. Software Development Content Embedded System Development Embedded Control Programs Based on RTOS or Linux Low-power Optimization, Ensuring Long-term Stable Operation Supports OTA remote upgrade Cloud management platform Real-time monitoring of electrical cabinet status (power, temperature, fault alerts, etc.) Data analysis (power consumption trends, energy optimization recommendations) Alert push (SMS/Email/APP notification) Permission management (Multi-level user permission control) Mobile APP Remote view of electrical cabinet status Receive alert messages Historical data query and analysis 3. Intelligent functional requirements Fault prediction and self-check: Predict equipment aging and overload risks based on AI algorithms Energy-saving optimization: Intelligently adjust power supply strategies based on electricity usage data Remote control: Supports remote power off, restart, and other operations Data integration: Can be integrated with smart city platforms and power management systems

Background: We are e-commerce sellers currently spending approximately $720 annually on leasing AI customer service models. We now wish to develop our own proprietary AI customer service software to enable automated replies and order follow-ups, thereby reducing costs and owning the intellectual property rights. Core Functional Requirements: Automated Replies: Integrate with large language model capabilities to automatically generate responses based on buyer inquiries. Support knowledge base training (upload product documentation/FAQs to make answers more accurate and context-aware). Support multi-turn dialogue context understanding. Order Follow-up: Automatically track order statuses (payment reminders for pending orders, shipping notifications, logistics updates, delivery confirmation). Automatically request reviews (send automated review invitations after buyers confirm receipt). Multi-Platform Support: Must integrate with customer service messaging APIs and order APIs of major e-commerce platforms. Support management of multiple stores within a single backend interface. Human Handover: Support seamless handover to human customer service agents when the AI cannot answer a query or when the customer requests human assistance. Data Statistics: Provide reports and dashboards on metrics such as automated reply volume, estimated human hours saved, and follow-up task completion rates.

Embedded development, you provide the hardware, I want to identify work uniforms, work shoes, safety helmets, and whether there are safe behaviors

Company Qualifications: Our company holds a valid Individual Business License and is able to sign formal contracts. Project Overview: Develop a travel companion service app that connects tourists with local guides.The platform consists of the user end, the influencer end, the promotion partner end and the management backend. Core Functional Requirements: 1. Client App (iOS/Android): Registration/Login (via mobile phone number) Guide Search and Filtering (by region, price, service type) Online Booking (select time, number of people) Order Management (Pending/Scheduled, Completed, Refund/ Cancelled) Rating & Review System (star rating + written review) Membership System (levels, points, benefits) Push Notifications / In-App Messages 2. Guide App (Separate App or integrated mode switch): Application Submission and Qualification Review Availability Toggle (Online/Offline) and Schedule Management Order Receiving and Processing Earnings Overview and Withdrawal Request Service History and Review Viewing 3. Promotional Partner App/Portal: Unique Promo Code / Referral Link Generation Promotional Earnings Statistics Commission Withdrawal Request Downline Team Management 4. Admin Management Backend (PC Web): User/Guide/Partner Management (review, suspend/freeze accounts) Order Management and Refund Processing Financial Management (transaction logs, withdrawal approval) Membership Rule Configuration (level criteria, points rules) Commission Rate Settings Content Management (banners, announcements) Data Statistics Dashboard Technical Requirements: Must develop both iOS and Android versions (or evaluate developing for one platform initially). Must provide a complete admin management backend. Must deliver full source code and technical documentation. Must provide assistance with app store publication (Apple App Store and Android markets).

Smart agriculture, build an intelligent control system to achieve automatic ventilation in greenhouses, precise temperature regulation, and automatically activate insulation measures when the environmental temperature falls below the preset standard, ensuring the temperature in the greenhouse remains within the suitable range for crop growth. Details to be discussed.

Requirements: Smart AR Software Development ESP32‑S3 + Dual 1.28-inch Screens + Binocular Cameras + AI Voice I. Overall Structure (Glasses Main Unit) Main Control: ESP32‑S3 Screen 1: Left eye 1.28-inch IPS (Main picture: Camera + AI Selection Box) Screen 2: Right eye 1.28-inch IPS (Data Panel: Count, Distance, Battery Level) Binocular Cameras: Small modules like OV2640 / GC0328 Audio: Microphone + Amplifier Speaker / Bone Conduction Power Supply: 3.7V Lithium Battery + Charging Board II. Screen Connections (Dual 1.28-inch IPS, typically SPI) Both screens default to using the SPI interface, sharing the SPI bus, only using different CS chip selects. ESP32‑S3 ↔ Screen 1 (Left Eye) 3.3V → VCC GND → GND GPIO19 → SCK GPIO20 → MOSI GPIO03 → CS/SS GPIO04 → DC GPIO05 → RST BL/LED can connect to 3.3V or PWM (GPIO08) ESP32‑S3 ↔ Screen 2 (Right Eye) 3.3V → VCC GND → GND SCK Shared → GPIO19 MOSI Shared → GPIO20 GPIO06 → CS/SS GPIO07 → DC GPIO08 → RST BL same as above Benefit: Dual screens use very few IOs, leaving more for the camera and voice. III. Binocular Camera Connections (DVP Interface, OV2640 Example) The ESP32‑S3 has a dedicated CAM interface, very suitable for binocular vision. Camera Common Signals 3.3V → VCC GND → GND GPIO11 → SDA GPIO12 → SCL Camera 1 (Main Camera) GPIO13 → D0 GPIO14 → D1 GPIO15 → D2 GPIO16 → D3 GPIO17 → D4 GPIO18 → D5 GPIO40 → D6 GPIO39 → D7 GPIO41 → PCLK GPIO42 → HREF GPIO43 → VSYNC GPIO44 → XCLK Camera 2 (Ranging/Auxiliary) Using a second DVP set or expanded IO. Simplified plan: Use an I2C switch to switch between two cameras, sharing the data port. Or use a monocular camera + TOF ranging module (simpler, more stable). Monocular AI recognition + TOF ranging is easier to implement and more stable than true binocular vision. IV. AI Voice Interaction Connections Microphone (Noise-reducing Mic) 3.3V → VCC GND → GND GPIO1 → AUD_IN Amplifier / Bone Conduction Speaker GPIO2 → I2S_BCLK GPIO3 → I2S_WS GPIO4 → I2S_DOUT Speaker connects to amplifier output. Activate by voice, AI broadcast, hands-free, completely liberation. V. Power and Charging (Must be stable for mountain use) TP4056 Charging Module Lithium Battery 3.7V → ESP32‑S3 VBAT AMS1117‑3.3V powers cameras, dual screens, microphone Add Schottky diode for reverse polarity protection. VI. Basic Workflow (The Soul of the Glasses) Power On → Both screens light up. Camera captures the ground in real-time. ESP32‑S3 runs lightweight AI recognition (e.g., identifying Cordyceps Sinensis). Target identified → Left eye screen draws a yellow box. Right eye screen displays: Count, Distance, Altitude. Bone conduction broadcast: "Detected [target] 2 meters ahead left." Voice/Button control: Start/Stop/Capture screenshot/Record location. Custom AI Cordyceps Sinensis Recognition Smart Glasses -Plan is finalized: Main Control: ESP32‑S3 Screen: Dual 1.28-inch IPS screens Vision: Monocular camera + TOF ranging Audio: Microphone + Voice broadcast Power: 3.7V Lithium battery + Charging Process: Build 1 functional prototype → Pass testing → Direct mass production of 500–2000 units. I have complete: Hardware connections, acceptance criteria. Please quote: Prototype Price Prototype Delivery Time Mass Production Development Fee + Cost Per Unit Budget: To be discussed with service provider.