Bidding plays a pivotal role in social and economic development, and plays a role in ensuring fair competition and market order. Bidding can effectively improve the quality and efficiency of the project, reduce the cost and risk of the project, promote technological innovation and industrial upgrading, and strengthen government supervision and social supervision.
1. Pain point analysis
Bid evaluation is the process of reviewing bidders' bid documents to determine the winning bidder, which needs to ensure fairness, impartiality and transparency. Bid evaluation supervision is to supervise the bid evaluation activities to ensure that the bid evaluation process is open and transparent, and the members of the jury can conduct the evaluation fairly and objectively, so as to avoid the transfer of interests or favoritism.
In the process of bid evaluation without effective supervision, the following problems are prone to occur:
1. On-site personnel violating the discipline of the venue (including hand-to-ear, late arrival and early departure, loud noise, making and receiving phone calls, wearing masks, wearing hats, smoking, eating, and making remarks at will to interfere with the normal progress of bid evaluation, etc.)
2. The review experts do not independently review, divide labor or negotiate scoring, enter and exit the review site at will, carry and use mobile phones in violation of regulations, and express tendentious opinions from time to time
3. The judges have on-site contact with the bidder
4. The tenderer or agency staff at the bid evaluation site has inappropriate or tendentious remarks and behaviors, such as explicit, implicit or exclusion of information about specific bidders
5. The traditional supervision method adopts manual viewing, recording, storage and retrieval of video materials at the bid evaluation site. The viewing process is time-consuming, laborious, and easy to slack, and the abnormal behavior alarm is delayed, and it is difficult to retrieve it afterwards
2.Hckdigi Technology's Solution
Hckdigi Technology provides an on-site
AI supervision solution for green digital intelligence bid evaluation bases (places) to monitor video/audio/personnel behavior at the bid evaluation site, improving the efficiency and accuracy of on-site supervision.
AI-assisted monitoring system
The cameras deployed in the bid evaluation site and key areas monitor the whole process of bid evaluation. The video signal is transmitted to the edge intelligent computing gateway, and the embedded video analysis algorithm analyzes the identification of violations (such as making phone calls, smoking, eating, etc., random entry and exit, and personnel intrusion into restricted areas).The conference MCU system synchronously separates the information flow at the bid evaluation site, extracts the audio signal, transmits it to the edge intelligent computing gateway, and realizes the monitoring of violations (such as loud noises, on-site discussions, and sensitive words) through embedded algorithm analysis.
Smart supervised phone
Based on face recognition and voice recognition technology, identity is confirmed through face recognition technology, and the call is automatically recorded when the call is connected, and automatically uploaded when the call ends. Through the voice recognition capability, sensitive words are intelligently identified, sensitive words are automatically warned, and a violation analysis report is formed.
Intelligent behavioral analysis
The solution uses intelligent behavior analysis tools and embedded on-site/personnel monitoring algorithm library, including face recognition, trajectory tracking, personnel/site monitoring, object recognition, voice conversion, etc., which can automatically identify on-site violations, automatically record and background alarms, record and analyze the movement trajectory of personnel at the bid evaluation site, corridor, hallway, parking lot and other places, and timely detect personnel area cross-border and identify stranger intrusion.
Customer service rbots
The intelligent customer service robot integrates natural language processing (NLP), machine learning, artificial intelligence (AI) and other technologies to automatically process service requests, understand and parse user queries, provide instant and accurate responses, and save labor costs.
3. Business results
Hckdigi Technology's AI supervision on-site solution for green digital intelligence bid evaluation base (site) has effectively improved the efficiency and effectiveness of on-site supervision of bid evaluation work:
1. The use of intelligent supervision telephone, through the monitoring of sensitive words, the use of warning, hang-up, recording and other operations to prevent the transmission and leakage of sensitive information in the process of bid evaluation, improve the safety level of supervision and management
2. Conduct comprehensive supervision and analysis of violations, solve the blind spots and blind spots existing in traditional control methods, improve the work efficiency of on-site supervision experts, and ensure the fairness and transparency of bid evaluation activities
3. The whole process of on-site supervision is automated, such as behavior record analysis, violation alarm, processing record, multi-dimensional retrieval, etc., to avoid the drawbacks of traditional manual methods and improve the reliability of on-site supervision
4. The terminal side configuration is flexible, and it supports access to existing video/audio monitoring equipment, improving the economy and efficiency of the original supervision system
4. AI intelligent computing gateway
Hckdigi Technology's Silicon Gravel series AI intelligent computing gateway is based on Nvidia Orin Nano/NX Series/AGX Orin core module, pre-installed Ubuntu operating system, and provides 20/40/70/100/200/275Tops high computing power. The device supports USB, CAN bus, GbE, MIPI camera interface FPC connector, M.2 Key M interface expansion SSD storage, large-capacity SATA hard disk storage, and supports 4/5G and WIFI wireless communication. The equipment adopts a strong and lightweight aluminum alloy material design and a high-efficiency passive heat dissipation design, with high performance, low power consumption, strong environmental adaptability, and can operate stably in harsh industrial environments. Through the combination of diversified deep learning algorithms, video structuring, face recognition, behavior analysis, status monitoring and other applications can be realized, and the equipment can be used in the Internet of Things, intelligent manufacturing, autonomous driving, smart home, smart security, smart medical and other fields.
